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An improved coulomb counting method based on dual open-circuit voltage and real-time evaluation of battery dischargeable capacity considering temperature and battery aging
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2021-07-15 , DOI: 10.1002/er.7042
Shun‐Li Wang 1, 2 , Xin Xiong 1 , Chuan‐Yun Zou 1 , Lei Chen 1 , Cong Jiang 1 , Yan‐Xin Xie 1 , Daniel‐Ioan Stroe 2
Affiliation  

Coulomb Counting (CC) method plays an important role in the state of charge (SOC) estimation theory of lithium-ion batteries, and a lot of improvement and optimization strategies are based on it. With the increasing demand for precise management of lithium-ion battery systems, the performance of the traditional CC method is no longer suitable for more complex working conditions. First, the battery aging, extreme temperature, and high-rate discharging were considered as the main influencing factors which limit the SOC estimation accuracy of the CC method, and the performance degradation mechanism of the traditional CC method under the influence of the above factors are experimentally analyzed, especially the change of battery total dischargeable capacity after aging, and the change rules of key parameters in the CC equation are analyzed. Then the initial SOC and the total dischargeable capacity of the CC method are modified and estimated respectively to realize the accurate estimation of SOC under complex working conditions, especially the accurate SOC estimation during the whole life cycle of lithium-ion batteries. The experimental results show that the improved CC method can effectively deal with complex working conditions, and the comprehensive estimation accuracy of SOC is within 3.6%.

中文翻译:

考虑温度和电池老化的基于双开路电压和电池可放电容量实时评估的改进库仑计数方法

库仑计数(CC)方法在锂离子电池荷电状态(SOC)估计理论中占有重要地位,很多改进和优化策略都基于它。随着对锂离子电池系统精确管理的需求日益增加,传统CC方法的性能已不再适合更复杂的工况。首先,电池老化、极端温度和高倍率放电被认为是限制CC方法SOC估计精度的主要影响因素,传统CC方法在上述因素影响下的性能退化机制为实验分析,特别是电池老化后总可放电容量的变化,分析CC方程中关键参数的变化规律。然后分别对CC法的初始SOC和总可放电容量进行修正和估计,以实现复杂工况下SOC的准确估计,尤其是锂离子电池全生命周期SOC的准确估计。实验结果表明,改进的CC方法能够有效处理复杂工况,SOC综合估计精度在3.6%以内。
更新日期:2021-09-09
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