基于多物理过程约束的锂离子电池优化充电方法

Translated title of the contribution: Multiphysics-constrained Optimal Charging of Lithium-ion Battery

Zhongbao Wei, Hao Zhong, Hongwen He*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The lithium-ion battery(LIB) is prone to the expected over-heating and quick degradation during the fast charging. Therefore, it is of great significance to constrain the key intermediate physical states of LIB actively within a reasonable range, while pursuing the speed of charging. Motivated by this, a multiple physics-constrained fast charging strategy is proposed for the LIB. A comprehensive electro-thermal-aging model is established and validated under typical charging scenarios. On this basis, a model-based observer is designed to estimate the state of charge and internal temperature of LIB in real time. Accounting for multiple conflicting objectives, i.e., the charging speed, temperature rise and degradation rate, a model predictive control-based strategy is proposed to optimize the charging process of LIB. Experimental results suggest that the proposed charging strategy can actively constrain the internal temperature of battery below the predetermined threshold. With a comparable charging speed, the proposed charging strategy leads to a slower degradation than the widely-used constant-current-constant-voltage charging strategy. The capacity decays within 200 charge-discharge cycles are 2.12% and 4.88%, respectively, for the two strategies. Based on the model predictive control, the proposed fast charging strategy constrains the battery internal states effectively, while a comprehensive promotion in terms of rapidity, safety and life extension is realized.

Translated title of the contributionMultiphysics-constrained Optimal Charging of Lithium-ion Battery
Original languageChinese (Traditional)
Pages (from-to)223-232
Number of pages10
JournalJixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume59
Issue number2
DOIs
Publication statusPublished - Jan 2023

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