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个人简介 李伟，安徽六安人，1992年2月生，工学博士，博士后，副教授，硕士生导师，黄山学者学术骨干。2020年6月博士毕业于华中科技大学机械科学与工程学院。2020年至2023年就职于重庆大学机械与运载工程学院，任弘深青年教师。中国机械工程学会高级会员，IEEE会员。主要研究方向为智能设计优化及其在工程中的应用。主持国家自然科学基金青年基金项目和重庆市科技创新重点项目等5项。参与国家自然科学基金面上项目以及国家重点研发计划课题等10余项。发表SCI/EI论文70余篇，在Engineering、Advanced Engineering Informatics、Structural and Multidisciplinary Optimization、Engineering With Computers、Electrochimica Acta、IEEE Transactions on Transportation Electrification、IEEE Transactions on Automation Science and Engineering、Energy、Applied Thermal Engineering、Journal of Energy Storage、Case Studies in Thermal Engineering、Engineering Optimization、ASME Journal of Mechanical Design、ASME Journal of Electrochemical Energy Conversion and Storage、ASME Journal of Thermal Science and Engineering Applications、ASME Journal of Computing and Information Science in Engineering等国际知名SCI期刊上发表论文60余篇，其中有多篇一作ESI高被引论文。担任International Journal of Green Energy、Batteries、Frontiers in Energy Research、Frontiers in Mechanical Engineering等多个SCI期刊客座编辑或编委。担任国家自然科学基金通讯评审专家，IEEE Transactions on Transportation Electrification、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Power Electronics、Applied Thermal Engineering、ISA Transactions、Energy Conversion and Management、Reliability Engineering & System Safety、Structural and Multidisciplinary Optimization、Electrochimica Acta、ASME Journal of Electrochemical Energy Conversion and Storage、ASME Journal of Computing and Information Science in Engineering、Philosophical Transactions of the Royal Society A等40余个知名SCI期刊的审稿人。 主要研究方向 复杂机械系统多学科设计优化 储能系统智能设计优化 计算智能方法 低碳设计与优化 可靠性/稳健性/风险性分析 数字孪生与智能制造     近年的科研项目、专著与论文、专利、获奖 1. 主持项目 国家自然科学基金青年基金项目, No: 52105506, 2022/01/01~2024/12/31 中国博士后科学基金面上项目, No: 2020M683237, 2020/11/01~2023/06/01 “成渝地区双城经济圈建设”科技创新重点项目, No: KJCXZD2020013，2021/01/01~2022/12/31 重庆市科研项目特别资助项目, No: XmT2020115，2020/11/01~2022/12/31 华中科技大学创新项目1项, No: 2019YGSCXCY037, 2019/01/01~2019/12/31   2. 参与项目 国家自然科学基金面上项目， No: 51975075, 2020/01/01~2023/12/31 国家重点研发计划课题， No: 2019YFB1706103, 2019/12/01~2022/11/30 国家自然科学基金创新研究群体项目，No: 51721092, 2018/01/01~2020/12/31 国家自然科学基金面上项目， No: 51675196, 2017/01/01~2020/12/31 国家自然科学基金面上项目，No: 51475082, 2015/01/01~2018/12/31   代表性论文（完整论文目录请参考我的ResearchGate：https://www.researchgate.net/profile/Wei-Li-459）：   1. Wei Li, Mi Xiao, Yongsheng Yi, and Liang Gao*. Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty, Advanced Engineering Informatics, vol. 40, pp. 81-92, Apr, 2019. 2. Wei Li, Mi Xiao, and Liang Gao*. Improved collaboration pursuing method for multidisciplinary robust design optimization, Structural and Multidisciplinary Optimization, vol. 59, no. 6, pp. 1949-1968, Jun, 2019. 3. Wei Li, Siqi Chen, Xiongbin Peng, Mi Xiao, Liang Gao*, Akhil Garg, and Nengsheng Bao. A comprehensive approach for the clustering of similar-performance cells for the design of a lithium-ion battery module for electric vehicles, Engineering, vol. 5, no. 4, pp. 795-802, Aug, 2019. 4. Wei Li, Mi Xiao, Xiongbin Peng*, Akhil Garg, and Liang Gao*. A surrogate thermal modeling and parametric optimization of battery pack with air cooling for EVs, Applied Thermal Engineering, vol. 147, pp. 90-100, Jan 25, 2019. 5. Wei Li, Xiongbin Peng*, Mi Xiao, Akhil Garg, and Liang Gao*. Multi-objective design optimization for mini-channel cooling battery thermal management system in an electric vehicle, International Journal of Energy Research, vol. 43, no. 8, pp. 3668-3680, Jun 25, 2019. 6. Wei Li, Akhil Garg, My Loan Le Phung, C. Ruhatiya, Liang Gao*, and Van Man Tran. Electrochemical performance investigation of LiFePO4/C0.15-x (x=0.05, 0.1, 015 CNTs) electrodes at various calcination temperatures: Experimental and Intelligent Modelling approach, Electrochimica Acta, vol. 330, Jan 10, 2020. 7. Wei Li, Liang Gao, and Mi Xiao*. Multidisciplinary robust design optimization under parameter and model uncertainties, Engineering Optimization, vol. 52, no. 3, pp. 426-445, Mar 3, 2020. 8. Wei Li, A. K. Jishnu, Akhil Garg, Mi Xiao, Xiongbin Peng, and Liang Gao*. Heat Transfer Efficiency Enhancement of Lithium-Ion Battery Packs by Using Novel Design of Herringbone Fins, ASME Journal of Electrochemical Energy Conversion and Storage, vol. 17, no. 2, May, 2020. 9. Wei Li, Akhil Garg, Mi Xiao, Xiongbin Peng, My Loan Le Phung, Van Man Tran, Liang Gao*. Intelligent optimization methodology of battery pack for electric vehicles: a multidisciplinary perspective. International Journal of Energy Research, vol. 44, no. 12, pp. 9686-9706, Oct, 2020. 10. Wei Li, Liang Gao, Akhil Garg, Mi Xiao*. Multidisciplinary robust design optimization under parameter and metamodeling uncertainties, Engineering with Computers, vol. 38, no. 1, pp. 191–208, May, 2020. 11. Wei Li, Akhil Garg, Mi Xiao, Liang Gao*. Optimization for liquid cooling cylindrical battery thermal management system based on Gaussian process model, ASME Journal of Thermal Science and Engineering Applications, vol. 13, no. 2, pp. 1-9, Jun, 2020. 12. Wei Li, Mi Xiao, Akhil Garg, Liang Gao*. A New Approach to Solve Uncertain Multidisciplinary Design Optimization based on Conditional Value at Risk. IEEE Transactions on Automation Science and Engineering, vol. 18, no. 1, pp. 356-368, Jan, 2021. 13. Ningbo Wang, Congbo Li, Wei Li*, Mingli Huang, Dongfeng Qi. Effect analysis on performance enhancement of a novel air cooling battery thermal management system with spoilers, Applied Thermal Engineering, vol.192, p. 116932, Jun, 2021. 14. Yongsheng Li, Congbo Li, Akhil Garg, Liang Gao, Wei Li*. Heat dissipation analysis and multi-objective optimization of a permanent magnet synchronous motor using surrogate assisted method, Case Studies in Thermal Engineering, vol. 27, pp. 1-19, Oct, 2021. 15. Wei Li, Congbo Li*, Liang Gao, Mi Xiao. Risk based design optimization under hybrid uncertainties, Engineering with Computers, vol. 38, pp. 2037–2049 Jun, 2022. 16. Wei Li, Congbo Li*, Ningbo Wang, Juan Li, Jinwen Zhang. Energy saving design optimization of CNC machine tool feed system: a data-model hybrid driven approach, IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp: 3809-3820, Oct, 2022. 17. Congbo Li, Ningbo Wang, Wei Li*, Yongsheng Li, Jinwen Zhang. Regrouping and Echelon Utilization of Retired Lithium-ion Batteries based on A Novel Support Vector Clustering Approach, IEEE Transactions on Transportation Electrification, vol. 18, no. 3, pp. 3648-3658, Sep, 2022. 18. Congbo Li, Mingli Huang, Wei Li*, Ningbo Wang. Optimization of an Induction Motor for Loss Reduction Considering Manufacturing Tolerances, Structural and Multidisciplinary Optimization, 2022. vol. 65, no. 187, pp. 1-17, Jul, 2022. 19. Wei Li, Akhil Garg*, Ningbo Wang, Liang Gao, My Loan Le Phung, Van Man Tran. Computational Fluid Dynamics (CFD) based numerical analysis for studying the effect of mini channel cooling plate, flow characteristics and battery arrangement for cylindrical lithium-ion battery pack, ASME Journal of Electrochemical Energy Conversion and Storage, vol. 19, no. 4, p. 041003, Nov, 2022. 20. Huanwei Xu, Lingfeng Wu, Shizhe Xiong, Wei Li*, Akhil Garg, Liang Gao. An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries, Energy, vol. 276, p. 127585, Aug 2023.   授权专利： 1. 高亮; 李伟; 李整; 肖蜜; 张严; 宋亚楠; 李培根。一种锂离子电池液冷热管理系统稳健设计优化方法，授权专利号：ZL201910636632.X 2. 许焕卫; 李伟; 李沐峰; 胡聪; 张遂川; 王鑫。基于时变灵敏度分析风力发电机组多学科稳健设计方法，授权专利号：ZL201611115026.6 3. 许焕卫; 李伟; 李彦锋; 黄洪钟; 彭卫文; 张小玲; 孟德彪; 王胜。基于变量相关的导弹与发动机一体化多学科设计优化方法，授权专利号：ZL201510648484.5 4. 许焕卫; 黄洪钟; 李伟; 李彦锋; 张小玲; 杨圆鉴; 郭骏宇。时变不确定条件下机械臂多学科可靠性设计优化方法，授权专利号：ZL201510992460.1 5. 许焕卫; 李彦锋; 李伟; 黄洪钟; 孟德彪; 彭卫文; 米金华。不确定因素相关的四辊轧机多学科可靠性设计优化方法，授权专利号：ZL201510990427.5     荣誉与奖励： 2022年中国发明协会 “发明创业奖创新奖” 二等奖，排2； 2019年IEEE CASE, Best Student Paper—Finalist; 2019年IEEE CASE, Student Travel Grant; 2019至2020学年度华中科技大学博士研究生国家奖学金； 2019至2020学年度华中科技大学知行一等奖学金； 2019年华中科技大学创新创业基金项目负责人； 2017届电子科技大学优秀硕士学位论文(前2%)； 教育经历 [1]   2017.9-2020.6 华中科技大学  |  机械工程  |  工学博士学位  |  研究生(博士)毕业 工作经历 [1]   2020.7-2023.3 重庆大学  |  机械与运载工程学院