State of health prediction model based on internal resistance
Hao Ji, Wei Zhang, Xuhai Pan, Min Hua, Yi‐Hong Chung, Chi‐Min Shu, Lijing Zhang
Abstract
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Hao Ji, Wei Zhang, Xuhai Pan, Min Hua, Yi‐Hong Chung, Chi‐Min Shu, Lijing Zhang
Abstract
Open-access reader
The state of health (SOH) is a crucial indicator of lithium-ion batteries. A battery cycle and calendar life are critical for electric vehicle batteries. Complex interactions occur between the SOH and internal resistance of a battery. In this study, several ternary lithium-ion battery charge discharge experiments were performed to investigate the effects of the ambient temperature, discharge rate, and depth of discharge on a battery's internal resistance. An SOH prediction model was then constructed and used to evaluate the remaining capacity of the electric vehicle battery. The model was verified through various experiments, and a comparison of experimental and model-derived data revealed a favorable agreement. Thus, the model accurately predicted the SOH of a ternary lithium-ion battery.
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The state of health (SOH) is a crucial indicator of lithium-ion batteries. A battery cycle and calendar life are critical for electric vehicle batteries. Complex interactions occur between the SOH and internal resistance of a battery. In this study, several ternary lithium-ion battery charge discharge experiments were performed to investigate the effects of the ambient temperature, discharge rate, and depth of discharge on a battery's internal resistance. An SOH prediction model was then constructed and used to evaluate the remaining capacity of the electric vehicle battery. The model was verified through various experiments, and a comparison of experimental and model-derived data revealed a favorable agreement. Thus, the model accurately predicted the SOH of a ternary lithium-ion battery.
Key concepts: Internal resistance, State of health, Battery (electricity), Ternary operation, Lithium-ion battery, State of charge, Electric vehicle, Ion