关键词: 智能网联汽车；T-BOX；平台化设计；信号解耦；动态配置；JSON 解析

Abstract: To address the core problems of long development cycle, high maintenance cost and low matrices. A parsing tool converts DBC files from different suppliers into standard JavaScript object notation (JSON) configuration files, and assigns a globally unique logical index to each functional signal, so as to realize complete decoupling between the application layer and physical layer signal positions. During T-BOX operation, corresponding configuration files are dynamically loaded according to vehicle identification codes. The parsing engine accurately extracts signal values based on the configurations, and processes and distributes the signals by classification in accordance with three signal models: event, alarm and status. Upper-layer applications only need to subscribe to fixed logical indexes to shield the heterogeneity of underlying CAN protocols. Experimental results show that the proposed scheme reduces the adaptation cycle for new vehicle models from 40 person-days in traditional schemes to 3 person-days, and decreases the central processing unit (CPU) occupancy rate of the signal parsing module by 62.3%. In cross-vehicle switching tests, upper-layer applications operate normally without any modification. The method effectively improves development efficiency, system maintainability and scalability, and provides a feasible solution for the platform-based and standardized development of intelligent connected vehicles. platformization caused by inconsistent controller area network (CAN) communication matrices when intelligent connected vehicle terminals are adapted to different vehicle models, this paper proposes a T-BOX platform design method based on signal ID decoupling and dynamic configuration loading. The core of the method is to construct a signal parsing middleware abstracted from specific CAN

Key words: intelligent connected vehicles; T-BOX; platform design; signal decoupling; dynamic configuration; JSON parsing