Light electric trucks driven by wheel hub have broad application prospects in intercity logistics transportation, but wheel hub motors still face the problems of heat dissipation and low control accuracy in automotive applications. Firstly, by comparing the advantages and disadvantages of different driving forms of pure electric vehicles, this paper points out the limitations of the current technological development of pure electric vehicles. Secondly, by introducing the industry-related scholars in the wheel hub motor cooling and drive control research work, and the characteristics and shortcomings of the research in this field are summarized. Finally, the design of wheel hub motor drive control system for light electric trucks is proposed, and a new cooling system is designed based on Arduino open source electronic platform to solve the heat dissipation problem of hub motor. The drive control system adopts self-developed control algorithms, combined with proportion-integraldifferential (PID) and linear quadratic regulator (LQR) dual algorithm closed-loop feedback control to achieve precise differential control; The cooling system adopts a double-layer cooling scheme combining liquid cooling and air cooling, which can achieve dynamic cooling power adjustment and improve the heat dissipation efficiency of the cooling system.

With the continuous development of energy technology, the ownership number of new energy vehicle is constantly increasing. The airtightness testing can effectively ensure the sealing performance of the vehicle body, improve the safety and service life of the vehicle, while reducing the impact of noise on driving and improving driving and riding comfort. According to the requirements of airtightness testing technology, this paper elaborates on the content such as the testing equipment, environmental control, testing principles, and testing processes of pressure difference method and water tank testing method, and discusses the advantages, disadvantages, and applicable status of the two testing methods. Through airtightness testing, the airtightness status of the vehicle can be effectively determined, and airtightness problems can be solved. By conducting airtightness testing on new energy vehicle, technical support is provided for quality control and standardization of new energy vehicle, promoting their sustainable development and progress.

As a promising development direction for new energy vehicles, supercapacitors hold vast application prospects. A supercapacitor management system comprises a master node and multiple sub-nodes, where precise clock synchronization between the master and sub-nodes is crucial for improving the data fusion accuracy of distributed devices. This paper proposes a high-precision clock synchronization method that integrates the network time protocol (NTP) with one pulse per second (1PPS) signals. By recording hardware timestamp anchors of the 1PPS pulse and combining them with NTP-based network time interaction, the method calculates time discrepancies and dynamically adjusts the local clock frequency to achieve high-precision clock synchronization, achieving nanosecond-level synchronization accuracy (error<1 μs). This approach demonstrates a three-order-of-magnitude improvement in precision compared to traditional NTP protocols (millise-cond-level), while maintaining low hardware costs and strong network scalability. It provides a high-precision, cost-effective synchronization solution for high-timing-sensitive scenarios in new energy vehicle power management systems.

With the increasingly severe energy and environmental issues, the advantages of electric vehicles (EV) as a sustainable mode of transportation have become increasingly prominent, and they have become an important part of the future transportation system. In response to the challenges of electric vehicles in terms of range and power performance, this article proposes a dual-motor four-wheel drive configuration equipped with a single two-speed transmission to optimize energy utilization efficiency and enhance power performance. By analyzing different driving conditions, this article designs an energy management strategy based on instantaneous optimization, achieving efficient torque distribution and shift control of the front and rear motors. The transmission ratio of the two-speed transmission is optimized by using the genetic algorithm, and finally the best performance of the vehicle under different driving cycles is achieved. The simulation results further prove the practicability of this scheme. The results show that compared with the traditional dual-motor configuration with fixed transmission ratio and variable transmission ratio, the dual-speed transmission can significantly reduce energy consumption, reducing energy consumption by 9.13% and 11.04% respectively under the worldwide harmonized light vehicles test cycle (WLTC) and the urban dynamometer driving schedule (UDDS). However, the effect is relatively small under the conditions of expressways. This research can provide new ideas for the design of the transmission system of electric vehicles.

Aiming at the problems that the gear shifting strategy of battery electric vehicles has poor adaptability to different driving styles and is prone to frequent gear shifting under complex working conditions, this article constructs a comprehensive gear shifting strategy by using the method of fuzzy control. Firstly, the traditional dynamic and economic shifting strategies are designed. Then, based on the fuzzy control theory, the driving style and driving intention recognition model is constructed. On this basis, a comprehensive gear shifting strategy combining driving style switching and driving intention correction is proposed. Finally, by building a joint simulation model of AVL Cruise and Simulink, the gear shifting strategy is verified under urban conditions and the new European driving cycle (NEDC) conditions. The simulation results show that the proposed comprehensive gear shifting strategy can reduce the number of invalid gear shifts, improve the driving experience, and at the same time, it has good power performance on the premise of ensuring economy, enhancing the overall vehicle performance and meeting diverse driving needs.

Aiming at the problem of early tooth failure of spiral bevel gears in electric heavy-duty trucks during service, this article identified the main causes of the failure through means such as macroscopic morphology analysis, material analysis, microscopic analysis, stress analysis, and message analysis. This analysis suggests that by optimizing the mutual switching between forward and reverse, and reverse towing, as well as the torque design strategy, and by optimizing the macroscopic and microscopic modification of gears and meshing marks, the safety factor of gluing can be reduced and the anti-gluing ability of gear oil can be enhanced, so as to be applicable to the dynamic load changes and acceleration/braking switching conditions of electric heavy-duty trucks. The research results provide a certain basis for improving the reliability of the transmission system of electric heavy-duty trucks.

With the increasing complexity of intelligent vehicle electronic and electrical architectures, full lifecycle management of vehicle electronic control components faces multiple challenges: Traditional on-site firmware flashing solutions relying on diagnostic tools suffer from high manual dependency and low operational efficiency, while existing remote over-the-air (OTA) technologies are constrained by hardware redundancy caused by decentralized deployment of in-vehicle communication modules and insufficient protocol transmission efficiency. This study proposes an telematics gateway (TGW) architecture that combines the functionalities of traditional T-BOX (Telematics Box) and in-vehicle gateway. The architecture eliminates hardware redundancy through module integration at the hardware layer, ensures data security during firmware downloads via hypertext transfer protocol secure (HTTPS) encrypted transmission at the external network protocol layer, and employs a self-developed unified diagnostic service (UDS) protocol stack compliant with ISO 14229 standards at the internal network protocol layer, featuring autonomous controllability. Innovatively, this architecture achieves centralized remote master-controlled firmware flashing management for all vehicle electronic control unit (ECU). Testing results demonstrated a 32% improvement in communication efficiency compared to the discrete solution, and the gateway's message forwarding throughput has increased to 2.1 Gbps. The research outcomes have effectively addressed issues of resource redundancy, security risks, and decentralized management in vehicle system OTA upgrades, providing an efficient and reliable solution for full lifecycle software management in intelligent connected vehicles.

Study aims to identify the key factors affecting the operational stability of the intelligent connected vehicle (ICV) supply chain. Firstly, an initial indicator system for the risk factors of the ICV supply chain is constructed through a systematic literature review and Delphi expert consultation. Subsequently, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method is utilized to construct a complex influence network among risk factors and to calculate the centrality and causality of each risk factor. Finally, the causal influence diagram generated is analyzed to assess the centrality and causal influence of each risk factor within the ICV supply chain risk network. The findings of this study provide a new perspective and methodological approach for supply chain risk management in the ICV industry, which holds significant implications for enhancing the operational stability and resilience of the supply chain

In response to the problems of low operational efficiency and the risk of falling into grain piles during manual operations in grain storage, this paper designs a robot for operating in corn grain warehouses based on the driving method of spiral propulsion. The mechanical performance of the robot is analyzed, and a leveling device is designed for flat grain operations. Performance tests are conducted on the driving and working devices. The results show that the grain silo robot travels smoothly on the corn grain surface, and can achieve straight-line travel, steering, and climbing functions. The straight-line walking speed can reach 0.34 m/s, the turning angular velocity can reach 0.18 rad/s, and the climbing slope can reach 23°; robots can complete grain leveling tasks, and the leveling effect along the forward direction is better than that in the backward direction, with a leveling accuracy of up to 0.03 m. The research results can provide a basis for the engineering design of grain silo robots.

This study conducts a systematic benchmarking analysis and performance optimization for the bumper of a certain vehicle model. First, it deeply analyzes the structural and material characteristics of the bumper, compares the working condition settings in relevant literatures and automotive industry standards, and clarifies the requirement to meet the strict acceleration of 6.8g in all directions. Structural benchmarking reveals that the first-order modal frequency of the existing bumper is 10.8 Hz lower than that of the benchmark vehicle, and the frequency is improved through topology optimization based on the variable density method. In the reliability test, the bumper breaks after a 3 000 km test on comprehensive road conditions, which is analyzed to be caused by crack propagation under small cyclic loads. By improving the lateral open structure into a closed structure, the anti-deformation ability is effectively enhanced, the local stress concentration is relieved, the reliability problem is successfully solved, and the bumper performance is significantly improved.

A certain mining vehicle enterprise, in response to the customer's demands for cost reduction, weight reduction, and improvement of fuel economy performance, has decided to attempt to adopt topology optimization technology to conduct lightweight and cost-reducing design for the current batch matching of mining cast front axle housings. Based on benchmarking the initial scheme and performance indicators as well as ensuring the assembly relationship, with the maximum stiffness of the front axle housing as the optimization objective, the structural material path for casting the front axle housing is determined, and the structural scheme design of the front axle is carried out. The newly designed front axle housing scheme, after analysis and verification, iterative optimization, and elimination of local stress concentration, determined the final optimization scheme. The results show that under the premise of stress and deformation being less than the existing scheme, the mass is reduced by 35 kg, and the weight is reduced by 9.6%. The successful application of topology optimization technology in the lightweighting of cast front axle housing is verified through A certain mining vehicle enterprise, in response to the customer's demands for cost reduction, weight reduction, and improvement of fuel economy performance, has decided to attempt to adopt topology optimization technology to conduct lightweight and cost-reducing design for the current batch matching of mining cast front axle housings. Based on benchmarking the initial scheme and performance indicators as well as ensuring the assembly relationship, with the maximum stiffness of the front axle housing as the optimization objective, the structural material path for casting the front axle housing is determined, and the structural scheme design of the front axle is carried out. The newly designed front axle housing scheme, after analysis and verification, iterative optimization, and elimination of local stress concentration, determined the final optimization scheme. The results show that under the premise of stress and deformation being less than the existing scheme, the mass is reduced by 35 kg, and the weight is reduced by 9.6%. The successful application of topology optimization technology in the lightweighting of cast front axle housing is verified through A certain mining vehicle enterprise, in response to the customer's demands for cost reduction, weight reduction, and improvement of fuel economy performance, has decided to attempt to adopt topology optimization technology to conduct lightweight and cost-reducing design for the current batch matching of mining cast front axle housings. Based on benchmarking the initial scheme and performance indicators as well as ensuring the assembly relationship, with the maximum stiffness of the front axle housing as the optimization objective, the structural material path for casting the front axle housing is determined, and the structural scheme design of the front axle is carried out. The newly designed front axle housing scheme, after analysis and verification, iterative optimization, and elimination of local stress concentration, determined the final optimization scheme. The results show that under the premise of stress and deformation being less than the existing scheme, the mass is reduced by 35 kg, and the weight is reduced by 9.6%. The successful application of topology optimization technology in the lightweighting of cast front axle housing is verified through A certain mining vehicle enterprise, in response to the customer's demands for cost reduction, weight reduction, and improvement of fuel economy performance, has decided to attempt to adopt topology optimization technology to conduct lightweight and cost-reducing design for the current batch matching of mining cast front axle housings. Based on benchmarking the initial scheme and performance indicators as well as ensuring the assembly relationship, with the maximum stiffness of the front axle housing as the optimization objective, the structural material path for casting the front axle housing is determined, and the structural scheme design of the front axle is carried out. The newly designed front axle housing scheme, after analysis and verification, iterative optimization, and elimination of local stress concentration, determined the final optimization scheme. The results show that under the premise of stress and deformation being less than the existing scheme, the mass is reduced by 35 kg, and the weight is reduced by 9.6%. The successful application of topology optimization technology in the lightweighting of cast front axle housing is verified through A certain mining vehicle enterprise, in response to the customer's demands for cost reduction, weight reduction, and improvement of fuel economy performance, has decided to attempt to adopt topology optimization technology to conduct lightweight and cost-reducing design for the current batch matching of mining cast front axle housings. Based on benchmarking the initial scheme and performance indicators as well as ensuring the assembly relationship, with the maximum stiffness of the front axle housing as the optimization objective, the structural material path for casting the front axle housing is determined, and the structural scheme design of the front axle is carried out. The newly designed front axle housing scheme, after analysis and verification, iterative optimization, and elimination of local stress concentration, determined the final optimization scheme. The results show that under the premise of stress and deformation being less than the existing scheme, the mass is reduced by 35 kg, and the weight is reduced by 9.6%. The successful application of topology optimization technology in the lightweighting of cast front axle housing is verified through bench fatigue tests and reliability verification in the mining area.

To enhance the cornering performance of formula student China, this paper designs an aerodynamic package including a front wing, side diffusers, and a rear wing. Computational fluid dynamics simulations of the racecar are conducted using ANSYS software, and the front wing is optimized based on the simulation results. Additionally, the downforce and lift-to-drag ratio of the racecar under five different installation configurations are compared. The results show that after installing the complete aerodynamic package, the downforce is increased by 355.6 N, and the lift-to-drag ratio is improved from -0.437 6 to 3.021 2, effectively enhancing the performance of the formula racecar.

The estimation of tire-road friction coefficient (TRFC) is one of the most important parameters in the precise motion control of intelligent distributed drive electric vehicles, and its estimation accuracy and real-time performance greatly affect the vehicle control effect. Traditional methods based on vehicle dynamics often only use current information for TRFC estimation. Due to model uncertainties and insufficient driving excitation, the estimation results often suffer from lowaccuracy and slow convergence, which greatly affects the control effect of subsequent vehicle chassis control systems. To address this issue, this paper proposes a TRFC observer that introduces past information based on vehicle lateral dynamics, thereby improving estimation accuracy and convergence speed. This method is based on historical vehicle longitudinal/lateral speed, lateral acceleration, yaw rate, and front wheel angle information, and designs a nonlinear adaptive observer to simultaneously estimate historical tire lateral force and current TRFC. The accuracy and convergence speed of this method are verified through real vehicle datasets, confirming its feasibility in engineering applications. The proposed method provides an accurate parameter basis for the subsequent intelligent vehicle chassis control.

To address the significant discrepancy in road characteristics between current regulatory operating conditions and customers' actual operating conditions, this paper proposes a forward development method for vehicle power matching based on customers' actual operating conditions. Taking the standard-load transport tractor as the research object, it analyzes the characteristics of the vehicle's actual operating conditions, constructs typical operating condition road spectra for its segmented market, and simultaneously conducts forward demonstration to determine key parameters of the power system, including engine displacement, peak torque, rated power, and transmission ratio. Using simulation software, a vehicle dynamics simulation model is built. From the perspective of key performance indicators such as vehicle fuel consumption and power performance, forward demonstration is carried out for different powertrain matching schemes, and the optimal power configuration solution for the standard-load transport segmented market is finally proposed Continuous tracking and verification of market-operated vehicles show that the target vehicles with large horsepower+small speed ratio configuration have a fuel consumption reduction of 1.89 L per 100 km compared with other vehicles on the same route, and a single vehicle reduces carbon emissions by 5.34 t per year, achieving remarkable energy-saving and emission-reduction effects.

This article explores the application of digital image correlation (DIC) method in load measurement during component impact tests, aiming to verify its accuracy and reliability in dynamic load measurement. Through drop hammer tests on energy-absorbing boxes and shock absorption systems, the performance of DIC technology and traditional measurement methods in capturing dynamic load changes and spectrum characteristic analysis is compared. The results show that the DIC system can accurately record the load changes during the impact process and exhibits unique advantages in elastic system tests, demonstrating its stability and reliability in complex and high-speed dynamic environments. The DIC technology provides an efficient and precise load measurement solution for impact tests, serving as an important complement to traditional methods and contributing to improving the measurement accuracy and efficiency in the industrial field.

: Driving conditions are one of the key factors that affect the overall performance of the vehicle, the focus of each enterprise's products is different, and the fuel consumption of each market is different. Based on the differences, it is necessary to develop driving conditions in line with market demand for vehicle power matching. Firstly, vehicle driving conditions clustering is completed to identify the proportion of subdivided market road conditions.Driving data fragments are cut and the driving characteristic parameters are removed by principal component analysis. Features that do not have much impact avoid wasting computing resources. Simulation verification shows that the road spectrum simulation results based on this method are closer to the real market performance than those of Chinese-world transient vehicle cycle (C-WTVC), China heavy-duty commercial vehicle test cycle for tractor trailers (CHTC-TT), with an error of no more than 7.6%.

The rear axle shell is one of the important components of a vehicle that is equipped with drive shaft devices such as the transmission system, differential system and wheel section. To solve the problems of low processing efficiency and low processing accuracy of domestic vehicle manufacturers, this article designs a set of process fixtures for the rear axle shell of vehicles. On the premise of meeting the dimensional accuracy, part geometry and positioning accuracy technical requirements, the requirements for batch production and the inspection procedures for use are precisely stipulated to improve production efficiency. Through the design and calculation of the clamping force of the positioning element of the milling machine, it is necessary to meet the clamping force of at least 50 kN when four cutting tools are machined at the sametime. When designing the fixture, a reasonable power source should be adopted for clamping, and a cleaner and greener pneumatic device should be selected to meet the industrialization requirements of low-carbon, green and environmental protection.

Assembly shop usually adopts a multi-model mixed production mode to accommodate the diverse market demands. The fluctuations of market demand make the takt rates of models different from initial plan. As different models have different process time, if the takt rate of models with higher process time declines and process is not timely balanced to adjust staff and process, then assembly shop utilization will decrease. This paper investigates the issue of improving utilization in the assembly shop of a multi-model mixed production. Based on the principle of line balancing, the paper proposes strategies of balanced order processing, large-cycle workstations and brother team to enhance overall utilization as well as improve flexibility of process and staff.

CMF design is an important part of commercial vehicle modeling design. Through the reasonable coordination of color, materials, surface treatment technology and modeling, it endows the product with artistic beauty and sense of quality, and influences the driving and riding experience from multiple senses such as vision, smell and touch, providing higher added value for the product. This article will introduce the CMF design process from the perspective of commercial vehicle interior design, and focus on the methods color, material and surface treatment process design in interior, as well as the precautions during the sample development process, to improve the development efficiency and product quality of the interior of commercial vehicle. It analyzes several future trends in the CMF design of commercial vehicle interiors: the application of new materials, family-style design, the incorporation of Chinese elements, artificial intelligence (AI) assisted design, and a unified design style, providing references for future design and research in the CMF of commercial vehicle interiors.

In order to deepen the integration mechanism of production and education and promote the high-quality development of higher vocational education, the outcome based education (OBE) concept is organically combined with the integration of production and education, and the current development problems faced by the new energy vehicle major in collaborative education are analyzed. With the output-oriented concept as the core, this paper analyzes the reform of production-education integration in the new energy vehicle major from three aspects: curriculum system, practice base of production-education integration, and "double-qualified" teacher team, and constructs an optimization mechanism of production-education integration and collaborative education for the new energy vehicle major in higher vocational colleges based on the OBE concept.Compared with the traditional model of the combination of production, university and research, the optimized mechanism is innovative and improved, and can significantly enhance the result-oriented combination of production, university and research. In addition, the study has certain guiding significance for cultivating the social adaptability of talents with technical skills, improving the employment opportunities and employment quality of vocational college graduates, and promoting the development of industrial economy.

Through the exploration of effective pathways to integrate course ideological and political into the teaching of the Automotive Body Electronic Control Technology course, aims to achieve a deep integration of professional knowledge impartation with value shaping and ability cultivation, fulfilling the fundamental mission of foster virtue and cultivate talent in higher education institutions. The paper reconstructs course content and innovates teaching models, effectively integrating professional knowledge of automotive electromechanical repair with ideological and political elements such as traditional culture, professional ethics, and the craftsmanship spirit. The research methods include case analysis, teaching practice, and effectiveness evaluation. The results indicate that this teaching model not only elevates students' professional knowledge and skill levels, but also significantly strengthens their professional identity, responsibility sense, and awareness of accountability, fostering a deep sense of patriotic sentiment and craftsmanship spirit. Integrating ideological and political elements into professional course contributes to cultivating well-rounded, high-quality technical and skilled talents who excel in morality, intelligence, physique, aesthetics, and labor, holding great significance for enhancing the overall quality and standard of higher vocational education.

The automotive industry is accelerating its transformation towards "electrification, intelligence, connectivity and sharing", which not only makes the demand for high-quality technical and skilled talents increasingly urgent, but also poses new challenges and higher requirements for vocational education in the automotive field. The article deeply integrates education with industry to cultivate talents who possess both theoretical knowledge and practical skills, which can better adapt to the demands of industrial upgrading. At the same time, by drawing on the model of the sinogerman advanced vocational education cooperation project (SGAVEE), the construction of industryeducation integration courses has been carried out, ensuring that educational achievements are closely aligned with industrial demands. This is conducive to further promoting the innovative development of vocational education and providing strong talent support for the transformation and upgrading of the automotive industry.

With the continuous growth of new energy vehicle ownership in China, the demand for specialized technical personnel in the new energy vehicle aftermarket has significantly increased. Higher requirements are proposed on the teaching reform of related courses to strengthen the cultivation of professional talents in new energy vehicle-oriented automobile repair engineering education. Among them, Electric Vehicle Technology is a core course in higher education institutions for the training of high-quality automobile repair engineering education professionals and serves as the theoretical foundation for automobile repair teachers. The paper conducts an in-depth analysis of the current teaching status and challenges faced of the Electric Vehicle Technology course. Based on the connotations of new engineering disciplines construction and professional certification for vocational-technical teacher education, the course content is designed in a project-based and modular. Meanwhile, the paper explores an integrated theory-practice teaching model based on the outcome based education (OBE) philosophy. Through transformation of education measures such as optimizing practical teaching segments, building virtual simulation experimental platforms, constructing digital teaching resource libraries, and carrying out the deep integration of courses and ideological and political education, to support the new engineering disciplines upgrading of automobile repair engineering education profession. Additionally, these measures provide references and assistance for the teaching of other related courses.

New energy and intelligent connected vehicle, as breakthroughs in leading the transformation and upgrading of the automotive industry, have become internationally recognized directions for the future development of the automotive industry. In order to cultivate high-quality composite talents with strong engineering practice ability and innovation ability that meet the needs of the automotive industry, this paper is guided by the concepts of engineering education professional certification and deep integration of industry and education, guided by the goal of cultivating application-oriented talents that meet the needs of the "New Four Modernizations" of automotive,guided by the improvement of students' ability to solve complex engineering problems and the cultivation of innovation and entrepreneurship ability, with the reconstruction of the talent training system as the core, the construction of practical teaching platforms and faculty teams, as well as curriculum teaching reform as the breakthrough point, the quality monitoring of talent training as the means, and the collaborative education mechanism as the guarantee, explore and practice the talent training mode of new energy intelligent connected vehicle. By enriching the theoretical system of application-oriented talent training mode construction centered on students and oriented towards industrial development, provides certain reference value for talent cultivation of similar majors in other universities.

Against the backdrop of higher vocational education reform, the integration paths of the "1+X" certificate system is explored into the curriculum of automotive majors. By analyzing the characteristics of the course Automotive Electrical Control System and Maintenance, a curriculum reconstruction plan of "integration of courses and certificates" is proposed. In accordance with the principles of authenticity, systematicness, and progression, the content of the "1+X" certificate is integrated into the content of the professional courses. Teaching projects based on the work process are designed, teaching methods combining virtual and real elements are innovated, and an evaluation system of "process-oriented and diversified assessment" is established. Practices have shown that this model can enhance students' vocational skills and comprehensive qualities. The acquisition rate of the "1+X" certificate among students has significantly increased. During internships and employment in enterprises, students can quickly adapt to the requirements of their jobs, complete work tasks independently, and the quality of talent cultivation has been effectively guaranteed. It has cultivated high-quality technical and skilled talents that meet the needs of industrial upgrading.

New Energy Vehicle Construction and Maintenance is a core professional course in the five-year higher vocational education major of new energy vehicle maintenance. In the current teaching process, there exist a series of problems such as the disconnection between theory and practice, insufficient training equipment, and high safety risks in practical operations. In response to these teaching pain points, this article relies on the integrated online and offline teaching model based on digital technology. Through the construction of digital resources before class, online previewing and testing, blended teaching and intelligent assisted teaching during class, as well as the diversified evaluation system and data-driven teaching improvement after class, it has achieved the innovation of integrated theory and practice teaching. Meanwhile, combined with specific cases, the application practice of digital technology is demonstrated. Practice shows that the application of digital technology has improved the quality of teaching, achieved the deep integration of theory and practice, and provided new ideas for the digital reform of integrated theory and practice teaching.

Under the background of "new engineering", the development of the industry has put forward higher requirements for the cultivation of automotive professionals. As a core compulsory course for the automotive engineering major, Automobile Theory course is characterized by strong theoretical nature and relatively abstract content. In order to improve teaching efficiency and enhance students' professional qualities, in view of the deficiencies of traditional Automobile Theory course in terms of content setting, teaching methods, practical teaching and evaluation system, based on the analysis and summary of students' learning situations, this article takes the actual teaching of automotive theory courses as the object. The teaching reform of the Automobile Theory course has been carried out from four aspects: updating and expanding the course content,introducing diversified teaching methods, strengthening practical teaching links and improving the course evaluation system. By implementing these reform measures, the teaching of Automobile Theory course will be more closely aligned with the actual situation of the industry, effectively enhancing students' professional qualities and comprehensive abilities, and cultivating more high-quality talents for the sustainable development of the automotive industry.

In view of the problems such as the disconnection between theoretical and practical teaching, the backward and inefficient teaching mode under the new energy vehicles for Automobile Structure course, a high efficiency experimental teaching method is proposed based on being students as the main body and applying information technology, and the long-term mechanism of the interaction between theoretical and practical teaching is explored. By making use of in-class, after-class and online resources, a diversified teaching model is formed, based on network platform assistance-on site integration of theory and practice-practical operations and support each other. Besides, it makes full use of the advantages of the existing experimental teaching venues and equipment, and initially integrates theoretical and experimental teaching, and improves the efficiency of teaching. Further more, students study with questions in mind, think deeply, and connect with reality, achieving the ability to apply what they have learned flexibly, and cultivating their abilities to analyze and solve problems, and also enhances their learning efficiency.

In the context of the new era of national " three new and one high " and the " the four modernizations " of the automotive industry, new requirements have been put forward for the ideological and political education of full-time teachers' courses. The article focuses on the core course of Automotive Design in the vehicle engineering major at Shanxi College of Technology. Based on the concept of outcome based education (OBE), this study conducts an in-depth analysis of the current ideological and political status of Automotive Design courses, explores ideological and political elements in combination with the characteristics of Automotive Design courses, and explores the subtle and silent design of ideological and political teaching in Automotive Design courses, inspiring students' patriotism, international perspective, innovative thinking, and craftsman-ship spirit. It provides reference for the teaching reform of similar professional courses.