个人简历

来鑫，男，工学博士，副教授，博士生导师。2013年同济大学博士毕业。近年来主要从事锂电池的全生命周期的管理与控制、新能源汽车电子控制技术等方面的研究。主讲新能源汽车电子控制类的本科生及研究生课程。获上海理工大学2019年度五四青年奖章。\r
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科研成果\r
（一）科研项目。主持国家自然科学基金项目2项、上海市自然科学基金项目1项、横向项目5项。参与国家级项目4项、省部级项目3项。\r
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近期主持的主要纵向项目如下\r
1. 国家自然科学基金面上项目, 面向梯次利用的大规模退役锂电池多维度快速分选原理及方法研究, 2020.1- 2023.12, 主持.\r
2. 国家自然科学基金青年项目，四轮独立转向-独立驱动车辆转向模式动态切换原理与方法研究, 2016.1- 2018.12, 主持, 已结题.\r
3. 上海市自然科学基金面上项目, 面向梯次利用的退役车用动力锂电池的性能衰退演化机理及分选重组方法研究, 2019.7-2022.6, 主持.\r
4. 汽车安全与节能国家重点实验室开放基金, 面向梯次利用的大规模退役锂电池的多维度分选方法研究, 2020.01 - 2021.12，主持.

研究领域

""1. 车用锂电池的全生命周期管理、优化与控制\r
2. 新能源汽车电子控制技术、工业控制技术""""

近期论文

X. Lai, C. Y. Jin, W. Yi, et al., Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives, Energy Storage Materials, 2021 (IF=16.28)\r
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X. Lai, W. Yi, et al., Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter, Energy, https://doi.org/10.1016/j.energy.2020.119233 (IF=6.082)\r
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X. Lai, S.W. Wang, et al., Parameter sensitivity analysis and simplification of equivalent circuit model for the state of charge of lithium-ion batteries, Electrochim Acta, 330 (2020), 135239. (IF=6.215, ESI Highly Cited Paper)\r
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X. Lai, L. He, S.Y. Wang, et al., Co-estimation of state of charge and state of power for lithium-ion batteries based on fractional variable-order model, Journal of cleaner production, 2020 (255),120203. (IF=7.246)\r
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X. Lai, D.D. Qiao, et al. A rapid screening and regrouping approach based on neural networks for large-scale retired lithium-ion cells in second-use applications, Journal of cleaner production, 2019 (213), 776-791. (IF=7.246)\r
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X. Lai, W.K. Gao, et al., A comparative study of global optimization methods for parameter identification of different equivalent circuit models for Li-ion batteries, Electrochim Acta, 2019 (295), 1057-1066. (IF=6.215, ESI Highly Cited Paper)\r
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X. Lai, Y.J. Zheng, T. Sun, A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries, Electrochimica Acta, 2018 (259), 566-577. (IF=6.215, ESI Highly Cited Paper，入选该期刊的Most Cited Articles)