The research of DSP-based automobile battery monitoring system and SOC estimation for HEV

Kaiqi Dong; Hongchang Ding

doi:10.1117/12.2639494

23 May 2022 The research of DSP-based automobile battery monitoring system and SOC estimation for HEV

Kaiqi Dong, Hongchang Ding

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122540A (2022) https://doi.org/10.1117/12.2639494
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

In order to improve the accuracy of the estimated value of battery state of charge, this paper builds an electric vehicle battery management system platform, and proposes an extended EKF algorithm based on THEVENIN battery model, and a detailed analysis and introduction of the BMS software and hardware structure, at the same time in order to facilitate debugging, designs the input and output system and the host computer data receiving system, carries out the simulated working condition test of the lithium iron phosphate battery pack through MATLAB/SINULINK simulation, and gets the result that error of the estimated battery state of charge (SOC) is within 5%, confirms the reliability of BMS test platform and software system, accuracy of battery model and estimation algorithm.

Citation Download Citation

Kaiqi Dong and Hongchang Ding "The research of DSP-based automobile battery monitoring system and SOC estimation for HEV", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122540A (23 May 2022); https://doi.org/10.1117/12.2639494

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