A Battery Thermal Management Strategy Based on Model Predictive Control with Online Markov Speed Predictor

Ningwei Jiang, Ziyi Yang, Jun Jun Deng*, Renjie Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The energy efficiency of battery electric vehicles has reached a high level, but there remains significant potential for optimizing the efficiency of battery thermal management systems (BTMS). Existing control strategies for BTMS often fail to adequately consider preview information of the trip, leading to suboptimal energy efficiency. In this paper, an online Markov Chain (MC)-based model predictive control (MPC) strategy is used to reduce the energy consumption of the battery thermal management system. The MC-based speed predictor gathers speed data during driving to continuously update the transition probability matrix(TPM), thereby enhancing prediction accuracy. Firstly, the predicted vehicle speed sequence is used as a disturbance of the model predictive control. Then the battery degradation cost, electric power consumption cost, and deviation of battery temperature from target are selected as the objective functions, and finally the dynamic programming (DP) algorithm is employed to solve the local optimization problem within the prediction time domain. For simulation verification, the CLTC-P cycle was repeated 17 times as a test condition. Compared with the rule-based controller, the MPC algorithm reduced power consumption by 5.4% and battery degradation by 3% under test conditions. In addition, the BTMS with MPC tracks the battery reference temperature better.

源语言英语
主期刊名2024 6th International Conference on Energy, Power and Grid, ICEPG 2024
出版商Institute of Electrical and Electronics Engineers Inc.
581-586
页数6
ISBN(电子版)9798350377798
DOI
出版状态已出版 - 2024
活动6th International Conference on Energy, Power and Grid, ICEPG 2024 - Guangzhou, 中国
期限: 27 9月 202429 9月 2024

出版系列

姓名2024 6th International Conference on Energy, Power and Grid, ICEPG 2024

会议

会议6th International Conference on Energy, Power and Grid, ICEPG 2024
国家/地区中国
Guangzhou
时期27/09/2429/09/24

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引用此

Jiang, N., Yang, Z., Deng, J. J., & Wang, R. (2024). A Battery Thermal Management Strategy Based on Model Predictive Control with Online Markov Speed Predictor. 在 2024 6th International Conference on Energy, Power and Grid, ICEPG 2024 (页码 581-586). (2024 6th International Conference on Energy, Power and Grid, ICEPG 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEPG63230.2024.10775945