Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles
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Cited by:
- Calum Strange & Shawn Li & Richard Gilchrist & Gonçalo dos Reis, 2021. "Elbows of Internal Resistance Rise Curves in Li-Ion Cells," Energies, MDPI, vol. 14(4), pages 1-15, February.
- Dominik Dvorak & Daniele Basciotti & Imre Gellai, 2020. "Demand-Based Control Design for Efficient Heat Pump Operation of Electric Vehicles," Energies, MDPI, vol. 13(20), pages 1-18, October.
- Yan Ding & Zhe Ji & Peng Liu & Zhiqiang Wu & Gang Li & Dingsong Cui & Yizhong Wu & Sha Xu, 2021. "Gas Station Recognition Method Based on Monitoring Data of Heavy-Duty Vehicles," Energies, MDPI, vol. 14(23), pages 1-13, November.
- Lorentz Jäntschi, 2020. "Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions," Mathematics, MDPI, vol. 8(2), pages 1-21, February.
- Zhaosheng Zhang & Shuo Wang & Ni Lin & Zhenpo Wang & Peng Liu, 2023. "State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles Based on Regional Capacity and LGBM," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
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Keywords
lithium-ion batteries; electric vehicles; ohmic resistance estimation; XGBoost;All these keywords.
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