姓名：李伟

出生年月：1992年2月

学历学位：工学博士

技术职务：弘深青年教师

办公地址：重庆大学A区第七教学楼7325

电子邮箱：liwei111@sina.cn; welly@cqu.edu.cn

学术主页：ResearchGate

个人简历

        李伟，2020年6月博士毕业于华中科技大学机械科学与工程学院，获机械工程专业工学博士学位。中国机械工程学会高级会员，IEEE会员。现从事储能系统智能设计优化、复杂机械系统多学科设计优化、可靠性/稳健性/风险性分析以及数字孪生与智能制造等方向的应用基础研究工作。先后主持或参与国家自然科学基金青年基金项目、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50余篇，其中SCI论文40余篇。第一作者或通讯作者在《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》、《Applied Thermal Engineering》、《Case Studies in Thermal Engineering》、《Engineering Optimization》、《ASME Journal of Electrochemical Energy Conversion and Storage》、《ASME Journal of Thermal Science and Engineering Applications》等国际知名SCI期刊上发表论文20余篇，其中有2篇一作ESI高被引论文。担任多个国际期刊编委、客座编辑以及20余个SCI期刊的审稿人。

主要研究方向

储能系统智能设计优化

复杂机械系统多学科设计优化

可靠性/稳健性/风险性分析

数字孪生与智能制造

计算智能方法

低碳设计与优化

主要研究经历

研究经历：

2020年7月~至今  重庆大学 机械与运载工程学院  弘深青年教师

2017年9月~2020年6月  华中科技大学 机械科学与工程学院  博士研究生

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

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

学术兼职

International Journal of Green Energy (JCRQ2, 3.206), 客座编辑

Batteries (JCRQ2, 5.938), 客座编辑

荣誉与奖励：

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%)；

公开发表论文（代表作）

代表性论文：

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, Online, 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. Xujian Cui, Siqi Chen, Mi Xiao, Wei Li*. A computational fluid dynamics (CFD) 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, p. 116932, Jun, 2021.

15. 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.

16. 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.

17. 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, Dec, 2021, https://doi.org/10.1109/TASE.2021.3136262.

18. 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, May, 2022. https://doi.org/10.1109/TTE.2022.3169208. 

19. Congbo Li, Mingli Huang, Wei Li*, Ningbo Wang. Optimization of an Induction Motor for Loss Reduction Considering Manufacturing Tolerances, Structural and Multidisciplinary Optimization, accept, 2022. vol. 65, no. 187, pp. 1-17, Jul, 2022. https://doi.org/10.1007/s00158-022-03276-z.

20. 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.

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

更新日期：2022年6月