基于模型的锂离子电池健康状态和行为估计方法

2016 IEEE International Conference on Prognostics and Health Management (ICPHM) Pub Date : 2016-06-20 DOI:10.1109/ICPHM.2016.7542819

Junfu Li, Chao Lyu, Lixin Wang, Tengfei Ge

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引用次数: 2

摘要

简化的力学模型可以准确地模拟电池的行为，更适合于力学参数的研究。通过分析电池在不同老化阶段参数的变化，可以预测电池剩余使用寿命。本文的主要工作如下:(1)根据力学模型在不同阶段的参数变化规律进行分析;(2)根据所选参数的变化预测电池的放电行为。模拟结果与实测结果吻合较好。

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Model-based method for estimating LiCoO2 battery state of health and behaviors

Simplified mechanistic models can accurately simulate battery behaviors and are more suitable for studies on mechanistic parameters. Battery remaining useful life can be predicted by analyzing the variations of parameters at different aging stages. The main work of this paper is listed below: (i) Parameters of mechanistic model at different stages are analyzed according to their variation laws, (ii) Based on the variations of these selected parameters, battery discharge behaviors are predicted. The simulated results show good agreement with measurements.

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来源期刊

2016 IEEE International Conference on Prognostics and Health Management (ICPHM)

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