The invention relates to the technical field of power batteries, in particular to a battery health state estimation method and device, a medium and a BMS. Comprising the following steps: estimating capacity variation and SOC variation of a battery; dividing the capacity variable quantity by the SOC variable quantity to obtain a self-learning capacity value of the single battery; weighting the self-learning capacity value of the battery monomer and the empirical capacity value of the battery monomer through the weight to obtain a final battery health state; the capacity variation of the battery is obtained by correcting the basic variation. According to the invention, the estimation precision of the health state can be improved, and system errors caused by insufficient capacity statistics are made up; especially for a small-capacity battery pack, self-discharge and AFE power consumption in the dormancy period cannot be ignored, and when the compensation capacity is not considered, the calculation deviation is too large, the method also avoids the great jump of the health state estimation result, indirectly avoids the great jump of the SOC estimation result, and finally improves the user experience.
本发明涉及动力电池技术领域,特别涉及一种电池健康状态估算方法、装置、介质及BMS。包括:估算电池的容量变化量以及SOC变化量;以容量变化量除以SOC变化量,算得电池单体自学习容量值;通过权重加权电池单体自学习容量值和电池单体经验容量值获取最终电池健康状态;电池的容量变化量为基础变化量经修正得到。本发明可以提高健康状态的估算精度,弥补由于容量统计不足导致的系统误差;尤其对于小容量电池包,休眠期间的自放电和AFE功耗无法忽略,当不考虑补偿容量时计算偏差过大,此方法也避免了健康状态估算结果的大幅度跳变,间接避免SOC估计结果的大幅跳变,最终提升了客户使用体验。
Battery health state estimation method and device, medium and BMS
一种电池健康状态估算方法、装置、介质及BMS
2025-03-07
Patent
Electronic Resource
Chinese
IPC: | G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / H01M Verfahren oder Mittel, z.B. Batterien, für die direkte Umwandlung von chemischer in elektrische Energie , PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY |
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