Online Diagnosis for the Capacity Fade Fault of a Parallel-Connected Lithium Ion Battery Group
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- Wang, Shumao & Bao, Wenkang & Sun, Yuedong & Li, Xiangjun & Dai, Feng & Hua, Jianfeng & Zheng, Yuejiu, 2024. "Current sensorless diagnosis of the cell internal resistance consistency in a parallel module using relaxation voltage," Energy, Elsevier, vol. 301(C).
- Changwen Zheng & Yunlong Ge & Ziqiang Chen & Deyang Huang & Jian Liu & Shiyao Zhou, 2017. "Diagnosis Method for Li-Ion Battery Fault Based on an Adaptive Unscented Kalman Filter," Energies, MDPI, vol. 10(11), pages 1-14, November.
- Jichao Hong & Zhenpo Wang & Peng Liu, 2017. "Big-Data-Based Thermal Runaway Prognosis of Battery Systems for Electric Vehicles," Energies, MDPI, vol. 10(7), pages 1-16, July.
- Zhao, Yang & Liu, Peng & Wang, Zhenpo & Zhang, Lei & Hong, Jichao, 2017. "Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods," Applied Energy, Elsevier, vol. 207(C), pages 354-362.
- Ivana Semanjski & Sidharta Gautama, 2016. "Forecasting the State of Health of Electric Vehicle Batteries to Evaluate the Viability of Car Sharing Practices," Energies, MDPI, vol. 9(12), pages 1-17, December.
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Keywords
parallel-connected battery group; capacity fade; online fault diagnosis; recursive least squares algorithm with restricted memory and constraint; fault simulation;All these keywords.
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