Overview of electric vehicle battery management system algorithms

Yanshuo Liu; Kun Jiang; Jianrui Sun; Kun Zhao; Jiyong Dai; Kai Wang

doi:10.1117/12.2635069

25 April 2022 Overview of electric vehicle battery management system algorithms

Yanshuo Liu, Kun Jiang, Jianrui Sun, Kun Zhao, Jiyong Dai, Kai Wang

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122443S (2022) https://doi.org/10.1117/12.2635069
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

Lithium ion battery becomes the first choice of energy storage because of its high energy density and long service life. The safety, operation, state estimation and residual life prediction of lithium ion battery system are managed by battery management system (BMS), so BMS is very important for the use and stability of battery system. The battery system represented by power battery was focused on, and the application of data-driven method in BMS system was summarized. The characteristics of electrochemical model, equivalent circuit model and data-driven model of BMS electrical model, and the application scope of electrical model, thermal model, thermal electrical coupling and thermal electrochemical coupling model of thermal modeling were summarized. The application of Kalman Filter, neural network, vector machine in SOC estimation was introduced, particle swarm optimization, Hi-DD-Adaboost. RT (inequality drift detection adaptive enhanced learning/threshold regression algorithm) and Kalman filter were applied to SOH estimation in terms of remaining life prediction, empirical prediction, filtering prediction and time series prediction were introduced.

Citation Download Citation

Yanshuo Liu, Kun Jiang, Jianrui Sun, Kun Zhao, Jiyong Dai, and Kai Wang "Overview of electric vehicle battery management system algorithms", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122443S (25 April 2022); https://doi.org/10.1117/12.2635069

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