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We also delve into the application of health indicators in the health status assessment of battery management systems and emphasize the importance of integrating health factors with big data platforms for battery status analysis. Furthermore, the paper outlines the prospects for future development in this field.
Assessing their health is crucial for extending battery life. When estimating health status, it is often necessary to select a representative characteristic quantity known as a health indicator. Most current research focuses on health indicators associated with decreased capacity and increased internal resistance.
The annotation of battery health status requires specialized expertise, and the labeling process is often time-consuming and resource-intensive. Moreover, the diverse types of batteries and varying usage environments introduce significant complexity and variability into the data .
State of health (SOH) estimation methods for lithium-ion batteries based on probabilistic methods and Coulomb counting. A structured review of battery health state estimation, mainly discussing the dynamic estimation of battery state parameters.
The state of charge (SOC), state of health (SOH), internal resistance, and capacity are associated with battery characterizations and its life . These factors play a key role in estimating real-time electric vehicle applications. In battery management systems (BMS) and control algorithms, battery parameter estimation is crucial .
This complexity makes monitoring and predicting the battery’s state of health (SOH) crucial for understanding and managing the degradation process, which, in turn, facilitates better control over the battery’s performance and overall lifespan.
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