| Affiliation: | 1. College of Safety Science and Engineering, Nanjing Tech University, Nanjing, China;2. College of Safety Science and Engineering, Nanjing Tech University, Nanjing, China
Jiangsu Key Laboratory of Hazardous Chemical Safety and Control, Nanjing Tech University, Nanjing, China;3. Graduate School of Engineering Science and Technology Yuntech, Douliou, Taiwan;4. Center for Process Safety and Disaster Prevention, Department of Safety, Health, and Environmental Engineering, Douliou, Taiwan |
| Abstract: | 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. |
