Design of Battery Management System for Pure Electric Vehicles Based on Lin Bus
In view of the limitations of the traditional Huffman coding algorithm in the design of battery management system for pure electric vehicles, a design scheme of battery management system based on LIN bus was proposed. Firstly, the influencing factors is accurately located through the serial communication theory, and the indicators is reasonably divided to reduce interference, and the LIN bus is used to construct the battery management system design scheme. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional Huffman coding algorithm in terms of battery management system design accuracy and processing time of influencing factors, and has obvious advantages. The design of battery management system plays an extremely important role in pure electric vehicles, which can accurately predict and optimize the growth characteristics and product generation of pure electric vehicles. However, the traditional Huffman coding algorithm has certain limitations in solving management system simulation problems, especially when dealing with complex problems. In this paper, a battery management system design scheme based on LIN bus is proposed to better solve this problem. In this scheme, the influencing factors is accurately located through the serial communication theory, so as to determine the division of indicators, and the LIN bus is used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the LIN bus-based simulation scheme in the design of battery management system for pure electric vehicles can better solve the limitations of the traditional Huffman coding algorithm and improve the simulation accuracy and efficiency.
Authors
- Z.J. Chen
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/gccit63234.2024.10862844
- Primary Topic
- Embedded Systems and FPGA Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00