个人基本情况

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。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。中国机械工程学会高级会员，IEEE会员。在Engineering、IEEE Transactions on Transportation Electrification、IEEE Transactions on Automation Science and Engineering、Energy、Engineering With Computers、Structural and Multidisciplinary Optimization、Advanced Engineering Informatics、Applied Thermal Engineering、Electrochimica Acta、Journal of Energy Storage、Case Studies in Thermal Engineering、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。担任International Journal of Green Energy、Batteries、Frontiers in Energy Research、Frontiers in Mechanical Engineering等多个国际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。担任IEEE Transactions on Transportation Electrification、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Power Electronics、Energy Conversion and Management、Reliability Engineering & System Safety、Structural and Multidisciplinary Optimization、Applied Thermal Engineering、ISA Transactions、Measurement、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等近50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

开设课程

《工程优化

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, 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%)；