Top Read

Published in last 1 year |

In last 2 years |

In last 3 years |

All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Optimization of Process Parameters of Module Laser Welding with DOE Based on Minitab FAN Yuyang Automobile Applied Technology    2023, 48 (20): 145-150.   DOI: 10.16638/j.cnki.1671-7988.2023.020.029 Abstract （557）      PDF （1478KB）（170）       In recent years, with the development of technology, the application of laser welding is gradually popularized, and laser welding is widely used in manufacturing industry, especially automobile manufacturing industry. At present, laser welding is widely used in lithium-ion battery manufacturing, such as module Busbar welding. Laser welding has many advantages, such as high welding speed, small deformation and high precision, it also has higher requirements for tooling and welding parameters. Reflective lens and other components, different equipments have similar welding properties, and welding parameters have mutual influence, which jointly affect the welding quality. In order to obtain better welding quality, in addition to the basic functional performance acceptance of new equipment, the influence between equipment parameters should be further obtained, so it is necessary to verify the parameters of laser welding equipment in an all-round way. It has become an important research aspect for welding process engineers to carry out multi-factor parameter verification tests and study the influence of the interaction between equipment parameters on welding quality. In this paper, the commonly used welding parameters are selected for design of experimen (DOE) verification, and the degree of factor interaction is obtained, and the theoretical optimal solution is calculated and optimized by Minitab tool. Reference | Related Articles | Metrics

Select

Simulation and Analysis of Power Performance of Pure Electric Vehicles Based on MATLAB LI Kai Automobile Applied Technology    2023, 48 (9): 1-5.   DOI: 10.16638/j.cnki.1671-7988.2023.09.001 Abstract （498）      PDF （638KB）（416）       Power performance is the most basic and important performance of pure electric vehicles. Modeling and simulation analysis of the whole vehicle power of pure electric vehicles is of great significance to improve the design level of new energy vehicles. In this paper, the maximum speed, acceleration ability and climbing ability are selected as the power evaluation indicators of pure electric vehicles and the power model of pure electric vehicles is established. Then the model is simulated by MATLAB to obtain the power simulation curve of pure electric vehicles. Finally, the main factors affecting the power of pure electric vehicles are analyzed. The results show that motor peak power and air drag coefficient are the main factors affecting the power performance of pure electric vehicles. Reference | Related Articles | Metrics

Select

Analysis of Electrical Power Steering PDC Function Principle and Optimization on Pull to Right Issue of Vehicle LIU Xiaoyun Automobile Applied Technology    2023, 48 (23): 36-40.   DOI: 10.16638/j.cnki.1671-7988.2023.023.007 Abstract （428）      PDF （979KB）（185）       Vehicle running off is a common failure mode that affects vehicle performance. According to the vehicle running and deviation characteristics, three stages of pull drift compensation (PDC) function scene identification, compensating torque calculation and PDC compensating torque output are proposed. The test indexes time to drift (TTD) and torque to track (TTT) are included into the performance indexes of PDC function acceptance. The contribution of PDC function to the optimization of deviation problem is expounded and demonstrated, which has certain engineering application value. Reference | Related Articles | Metrics

Select

Diagnosis and Analysis of BYD Qin Hybrid Low-voltage Unenergized Fault ZHU Lusheng Automobile Applied Technology    2023, 48 (7): 160-164.   DOI: 10.16638/j.cnki.1671-7988.2023.07.032 Abstract （345）      PDF （1693KB）（91）       In order to solve the low-voltage unenergized failure of BYD Qin hybrid, according to the circuit diagram and maintenance manual, analyze the low-voltage energized process, and summarize the diagnosis process of low-voltage unenergized fault. Finally, taking two real faults of 2019 Qin hybrid as examples, according to the diagnosis process, through two real vehicle troubleshooting cases, the feasibility of the diagnosis method is verified, which provides a certain reference for similar fault diagnosis. Reference | Related Articles | Metrics

Select

Analysis of Development Status and Prospect of New Energy Vehicles ZHAI Jiatian Automobile Applied Technology    2023, 48 (20): 193-198.   DOI: 10.16638/j.cnki.1671-7988.2023.020.039 Abstract （341）      PDF （1306KB）（158）       With the progress of social development, China has continuously increased its requirements for vehicular exhaust emission. New energy vehicles, as a new, eco-friendly, and efficient industry, conforms to the concept of green energy and can effectively reduce environmental pollution. In recent years, the technology level of new energy vehicles has continuously improved, and the overall performance of vehicles has greatly increased. At the same time, under the full support of the national government, the new energy vehicle industry has developed rapidly, and the market scale has continued to expand. This article provides a comprehensive analysis of the current development status of China's new energy vehicle industry, summarizes the existing problems, and puts forward targeted and reasonable suggestions, aiming to provide valuable reference for promoting the long-term development of China's new energy vehicle industry. Reference | Related Articles | Metrics

Select

Research Review on Thermal Management of New Energy Vehicles MA Haoran Automobile Applied Technology    2023, 48 (8): 1-9.   DOI: 10.16638/j.cnki.1671-7988.2023.08.001 Abstract （338）      PDF （3142KB）（283）       With the continuous popularity of new energy vehicles, in order to solve the range and thermal safety problems of new energy vehicles in winter and summer, it is necessary to thermal manage new energy vehicles. The contents of new energy vehicle thermal management include winter cockpit heating, summer cabin cooling, battery cooling and heating, motor heat dissipation and power electronic components heat dissipation. The paper expounds the common scheme of new energy vehicle air conditioning and the thermal management scheme of battery and motor, and analyzes the advantages and disadvantages of various schemes. This paper can have certain guiding significance for the research and development of new energy vehicle thermal management technology. Reference | Related Articles | Metrics

Select

Driving Style Recognition Based on Vehicle Driving Data LU Yibin Automobile Applied Technology    2023, 48 (18): 194-197.   DOI: 10.16638/j.cnki.1671-7988.2023.018.038 Abstract （306）      PDF （1233KB）（124）       Driver's driving style is an important impact on fuel economy and driving safety. This paper summarizes the research on driving style recognition based on vehicle driving data. Firstly, it introduces the basic process of driver's driving style recognition, and then discusses the algorithm models used by different scholars in driving style recognition, including support vector machine (SVM) algorithm, back propagation (BP) neural network algorithm and random forest model algorithm. Then, based on the actual vehicle driving data, different driving style recognition models are used to realize the analysis, and finally the research work of driver driving style recognition is prospected. Reference | Related Articles | Metrics

Select

Analysis of Influencing Factors of Consumers' Purchase of New Energy Vehicles XU Ling Automobile Applied Technology    2023, 48 (14): 33-36.   DOI: 10.16638/j.cnki.1671-7988.2023.014.007 Abstract （282）      PDF （742KB）（104）       The number of new energy vehicles has continued to increase in recent years, but by the end of 2021, new energy vehicles in China accounted for only 2.6% of the total number of vehicles. Consumers have little awareness of new energy vehicles and are not willing to buy. From the perspective of consumers, this paper studies the factors that affect consumers' purchase of new energy vehicles through questionnaires, and uses frequency analysis, chi-square test and other methods to analyze the influencing factors. The results show that the important influencing factors for consumers to purchase new energy vehicles are battery range, imperfect charging infrastructure and lack of understanding of new energy vehicles, can effectively promote the consumption of new energy vehicles. Reference | Related Articles | Metrics

Select

The Middle Ware of Data Distribution Service and Its Application in Automobile Field SHI Wenzheng Automobile Applied Technology    2023, 48 (16): 12-18.   DOI: 10.16638/j.cnki.1671-7988.2023.016.003 Abstract （277）      PDF （976KB）（70）       At present, service oriented architecture (SOA) occupies an increasingly important role in vehicle software, and communication middleware is one of the key links in the implementation of SOA. The advantages of data distribution service (DDS) in the automotive field have gradually become prominent. But there is little mention in the literature about the deployment and application of DDS on vehicles. The basic principle, publish-subscribe model and quality strategy of service of DDS is introduced in this paper detailly. Then the whole communication process of DDS and three different forms of DDS deployment on vehicles are introduced. Finally, taking FAST DDS as an example, the specific process of DDS deployment on vehicles is introduced in detail. The communication middleware based on DDS has a wider application prospect in automotive industry. Reference | Related Articles | Metrics

Select

Research on Compatibility of Friction Noise of Interior Materials PENG Yun Automobile Applied Technology    2024, 49 (1): 99-105.   DOI: 10.16638/j.cnki.1671-7988.2024.001.019 Abstract （276）      PDF （3417KB）（178）       In order to reduce the risk of friction noise in the forward development process of automotive interior in advance, and reduce the trial and error cycle and cost of physical verification. This article introduces the basic principle of material stick-slip effect and material stick-slip friction test, and analyzes the risk level of friction noise caused by commonly used interior materials under different working conditions. A database has been established for the compatibility of friction noise of commonly used interior materials under normal temperature and humidity conditions, providing guidance for material selection in the early stage of product design. At the same time, the engineering application of the interior material noise compatibility database is introduced, guiding the forward control of interior friction noise. Reference | Related Articles | Metrics

Select

Technology Status and Development Trend of New Energy Vehicle ZENG Jiacheng Automobile Applied Technology    2023, 48 (14): 189-194.   DOI: 10.16638/j.cnki.1671-7988.2023.014.037 Abstract （255）      PDF （1605KB）（140）       According to the three types of new energy vehicles and their key core technologies at home and abroad, this paper summarizes their research status and development trend. In the research of pure electric vehicle and its key technologies, further improve the power density of power battery, the responsiveness of battery management system and the integration of drive motor. In the research of hybrid power system, the research on torque coupling, power coupling and energy synergy management needs to be accelerated. In the research of fuel cell vehicles, the high performance and long life of the stack, the research and development of the key components of the air/hydrogen supply system and the research of the cooling system are the primary tasks of its development. Reference | Related Articles | Metrics

Select

Research Progress of Detection Methods for Fatigue Driving CHEN Jianzhe Automobile Applied Technology    2023, 48 (21): 179-186.   DOI: 10.16638/j.cnki.1671-7988.2023.021.036 Abstract （246）      PDF （1262KB）（113）       Fatigue driving is an important factor that induces traffic accidents, and it is of great research value and social significance to study how to quickly and accurately identify the fatigue state of drivers and provide fatigue warning before accidents occur to prevent fatigue driving and promote traffic safety. This paper introduces fatigue detection methods based on driver's physiological characteristics, vehicle behavior characteristics and driver's facial characteristics in comparison from the principle of fatigue detection, and analyzes the current status of research on fatigue driving detection based on machine vision and its characteristics, in order to provide new ideas for researchers. Reference | Related Articles | Metrics

Select

Research on Intelligent Vehicle Path Planning Based on Deep Learning and A* Algorithm LIANG Chao Automobile Applied Technology    2023, 48 (15): 87-94.   DOI: 10.16638/j.cnki.1671-7988.2023.015.015 Abstract （237）      PDF （1117KB）（101）       The paper address the problem of intelligent vehicle path planning and propose a novel approach based on deep learning and the A* algorithm. By combining convolutional neural networks (CNN) and long short-term memory (LSTM), it achieves accurate prediction of the shortest path in complex environments. Through experiments conducted in three different terrain environments, the paper validate the effectiveness and performance advantages of the approach. The results demonstrate significant improvements in path planning time, search time, path length, and average velocity. This research contributes to the autonomous navigation and path planning of intelligent vehicles and provides new insights and methods for further exploration of intelligent vehicle path planning based on deep learning and the A* algorithm. Reference | Related Articles | Metrics

Select

Research Status and Development Trend of Automobile Air Conditioning LIU Xiang Automobile Applied Technology    2022, 47 (18): 190-194.   DOI: 10.16638/j.cnki.1671-7988.2022.018.039 Abstract （223）      PDF （1267KB）（88）       Automobile air conditioning, as one of the most important components to ensure the comfort of driving, has always been concerned by major enterprises and universities. In order to grasp the development trend of automobile air conditioning, the relevant research on automobile air conditioning system at home and abroad is summarized, the research status of main components and alternative refrigerants of automobile air conditioning is elaborated, the mainstream new energy automobile air conditioning system and alternative air conditioning system at this stage are analyzed. The development direction of automobile air conditioning technology is analyzed, and the key to the development of automobile air conditioning is to develop an efficient, energy-saving and heat pump air conditioning system has great potential. Reference | Related Articles | Metrics

Select

An Intelligent Recharge Method for New Energy Electric Vehicle KANG Lei Automobile Applied Technology    2023, 48 (15): 18-22.   DOI: 10.16638/j.cnki.1671-7988.2023.015.004 Abstract （212）      PDF （937KB）（65）       Due to the increasingly complex and intelligent functions of new energy electric vehicles, the number of control components has increased. The problem is that the leakage current of various control components in the vehicle increases during sleep, making it easier for the battery to deplete during sleep. In order to ensure that electric vehicles can maintain their battery life for a longer time without losing power in the event of limited battery storage capacity, this paper proposes a new intelligent battery charging method that utilizes the vehicle controller's timed wake-up function to check the current battery level and decide whether to start the high-voltage battery to charge the battery, in order to ensure that the battery does not lose power during vehicle sleep and prevent the vehicle from starting normally, to solve the problem of battery loss during vehicle sleep. By adopting the intelligent power replenishment method described in this paper, the vehicle control unit is controlled to sleep and wake up at a fixed time, effectively saving the vehicle's electricity while also ensuring the battery's level of power, thus ensuring the normal operation of the vehicle. Reference | Related Articles | Metrics

Select

Method for Establishing Vehicle Coordinate System of Body Point Cloud Based on PolyWorks SHI Chao Automobile Applied Technology    2023, 48 (22): 99-103.   DOI: 10.16638/j.cnki.1671-7988.2023.022.018 Abstract （211）      PDF （2949KB）（29）       In the process of vehicle reverse alignment, the construction of vehicle coordinate system of body point cloud is a very important step in vehicle reverse alignment, which is the foundation of digital model of vehicle data reverse design, it is also an important basis for the study of the structural characteristics of automobile parts. Based on an engineering example, this paper uses PolyWorks software to construct the corresponding module of coordinate system, which can quickly and accurately construct the whole vehicle coordinate system of body point cloud, and proves the validity of this method. Reference | Related Articles | Metrics

Select

An Automatic Test Based on SecOC Protocol SHI Ruihao Automobile Applied Technology    2023, 48 (15): 95-102.   DOI: 10.16638/j.cnki.1671-7988.2023.015.016 Abstract （207）      PDF （2804KB）（59）       In recent years, people have paid more and more attention to information security. The Internet of vehicles industry has developed rapidly. There are events called for by information security loopholes in the automobile market, causing significant economic losses and brand image damage. Automotive open system architecture has defined a component called secure onboard communication (SecOC), which introduces a set of communication encryption and verification standards for the on-board communication bus to protect the network communication between electronic control units in the vehicle. It can be said that SecOC is an effective information security scheme on the on-board network so far. SecOC test is mainly to test the function and performance of relevant components with SecOC module to verify whether the SecOC function of relevant components meets the requirements of SecOC network security design requirements. The SecOC automated test implementation scheme described in this article can automatically identify the changes in the requirements of the communication matrix according to the business needs, and testers do not need to update the test cases and related test scripts. The test script is written in CAPL, a C-like language developed by Vector company. Because it is widely used in the development of automotive electronics, it provides great convenience for the maintenance of the later test script. After the automated test of SecOC protocol is applied, the test system runs stably, the test time is shortened, and the tester can pay more attention to the software quality, thus greatly improving the test efficiency of SecOC protocol. Reference | Related Articles | Metrics

Select

Research on Multiple-vehicle Collision Accident Reconstruction Based on PC-Crash Software LI Jian Automobile Applied Technology    2024, 49 (1): 32-38.   DOI: 10.16638/j.cnki.1671-7988.2024.001.007 Abstract （205）      PDF （1947KB）（92）       In the past three years, the average annual number of traffic accidents in China has been more than two hundred thousand times, and the number of multi-vehicle collision accidents has also increased year by year. This paper is based on a complex traffic collision accident, which is equivalent to multiple simplified collision accidents according to the sequence of vehicle collision time, and each collision process only contains two accident participants. By verifying the damage of the driver in the accident scene and the trace inspection of the accident vehicle, the degree of human injury, the collision form of each vehicle and the motion speed before the collision are analyzed, and the accident simulation is carried out with PC-Crash software and its authenticity is verified. The results show that the human injury condition obtained by simulation is consistent with the actual condition; Compared with the actual inspection data, the error of the final stopping position and collision velocity of the accident participant is less than 10%, indicating that the simulation results are consistent with the actual inspection results. This method can simulate the complex traffic collision accident and the simulation has a certain authenticity, which provides a theoretical support for the traffic management department to identify the accident responsibility. Reference | Related Articles | Metrics

Select

Analysis and Solution of Noise Caused by Seat Slide Rail during the Road Test MA Zhaoqiang Automobile Applied Technology    2022, 47 (21): 133-137.   DOI: 10.16638/j.cnki.1671-7988.2022.021.025 Abstract （204）      PDF （1503KB）（47）       In order to solve the problem of abnormal noise caused by car seat during dynamic evaluation of road test, through the analysis of seat structure, it is found that the clearance between upper and lower rails of seat frame is the main cause of abnormal noise. The paper analyses the main factors influencing this clearance, which are the ball-matching method of sliding rail, the flatness of the surface connecting the sliding rail with side panel and the flatness of the surface connecting the body with the sliding rail. Through quantitative analysis of these three influencing factors, the optimal ball-matching method of sliding rail, control tolerance of flatness of side-plate connecting rail surface and flatness of lower sliding rail connecting body surface are obtained. This scheme effectively solves the problem of abnormal noise and provides some reference for the development design and quality control of seat frame. Reference | Related Articles | Metrics

Select

Chassis Drive-by-wire System of Intelligent Connected Vehicle and Control Technology DUAN Hongyan Automobile Applied Technology    2022, 47 (17): 40-45.   DOI: 10.16638/j.cnki.1671-7988.2022.017.008 Abstract （201）      PDF （662KB）（53）       With the gradual improvement of electrification technology of intelligent connected vehicle, the degree of chassis electronic control of intelligent connected vehicle has gradually increased. The chassis drive-by-wire technology belongs to the key technology of intelligent connected vehicle, which directly affects the safety and operational stability of vehicle, and is crucial for the development of intelligent connected vehicle. The reliability and safety of chassis driveby-wire technology of intelligent connected vehicle are the key direction for research and development of intelligent connected vehicle at this stage. Combined with the actual research, this paper discusses the composition and working principle of the four chassis drive-by-wire subsystems of intelligent connected vehicle (drive-by-wire steering, drive-by-wire drive, drive-by-wire brake and drive-by-wire suspension) and analyzes the control technology commonly used for chassis drive-by-wire of intelligent connected vehicle through full vector separate wheel control and integrated control architecture of drive-by-wire chassis of intelligent connected vehicle. This paper combines the fault tolerance control method of chassis drive-by-wire of intelligent connected vehicle, analyzes the current problems of chassis drive-by-wire technology of intelligent connected vehicle, and provides a reference for the control mode of chassis drive-by-wire of intelligent connected vehicle. Reference | Related Articles | Metrics