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, 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 近年发表论文（完整论文目录请参考我的ResearchGate：https://www.researchgate.net/profile/Wei-Li-459）： [1] Wei Li, Yuzhen Niu, Haihong Huang*, Akhil Garg, Liang Gao. Multidisciplinary robust design optimization incorporating extreme scenario in sparse samples, ASME Journal of Mechanical Design, vol. 146, no. 9, p. 091701. Sep, 2024. [2] Wei Li*, Yongsheng Li, Akhil Garg, Liang Gao. Enhancing real-time prediction of lithium-ion battery degradation: a digital twin framework with CNN-LSTM-Attention model, Energy, vol. 286, no.15, p.129681, Jan, 2024. [3] Wei Li, Yongsheng Li, Congbo Li*, Ningbo Wang, Jiadong Fu. Incremental learning strategy-assisted multi-objective optimization for an oil-water mixed cooling motor, ASME Journal of Thermal Science and Engineering Applications, vol. 15, no. 12, p.121004, Dec, 2023. [4] Jinwen Zhang, Congbo Li*, Yongsheng Li, Ningbo Wang, Wei Li*. Energy consumption modeling and optimization of a hobbing machine tool under multi-axis coupling, IEEE Transactions on Automation Science and Engineering, Early Access, 2023. 10.1109/TASE.2023.3277835, 2023. [5] 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. [6] Wei Li, Ningbo Wang, Akhil Garg*, Liang Gao. Multiobjective optimization of an air cooling battery thermal management system considering battery degradation and parasitic power loss, Journal of Energy Storage, vol. 58, p.106382, Jan, 2023. [7] 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. [8] 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. [9] Congbo Li, Mingli Huang, Wei Li*, Ningbo Wang, Jiadong Fu. Optimization of an induction motor for loss reduction considering manufacturing tolerances, Structural and Multidisciplinary Optimization, vol. 65, no. 7, p. 187, Jul, 2022. [10]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. [11]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, 2022. [12]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. [13]Xujian Cui, Siqi Chen, Mi Xiao, Wei Li*. A computational fluid dynamics coupled multi-objective optimization framework for thermal system design for Li-ion batteries with metal separators, ASME Journal of Electrochemical Energy Conversion and Storage, vol. 18, no. 3, pp. 1-12, Aug, 2021. [14]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, pp. 1-17, Jun, 2021. [15]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, p.021015, Apr, 2021. [16]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. [17]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. [18]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, p.021015, Apr, 2021. [19]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. [20]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. 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%)；
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