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孟锦豪

日期:2020年07月29日     作者:     来源:      点击:[]

 

孟锦豪 副研究员/硕士生导师

专业:电气工程

研究方向:先进电力储能技术、退役电池梯次利用技术、锂电池应用、混合储能系统的能量管理。

电子邮箱:jinhao@scu.edu.cn, scmjh2008@163.com

地址:四川大学望江校区高压楼605实验室

学习与工作经历

· 2014.03-2019.06 西北工业大学自动化学院电气工程专业博士(导师:骆光照)

· 2016.12-2018.12 奥尔堡大学能源技术系联合培养博士(导师:Remus Teodorescu)

· 2019.11-今 网赌十大网站 副研究员  团队:电力系统稳定与高压直流输电团队 实验室:网赌十大网站新能源实验室

科研项目

在研的科研项目:

[1] 四川大学人才引进经费,2019.12-2022.12,主持;

[2] 中国博士后科学基金面上项目,2020.6-2022.6,主持。

结题的科研项目:

[1] 混合储能和多电机组合驱动系统的设计与能量管理策略研究,陕西省重点研发计划,2017.01-2018.12,主研;

[2] 基于超级电容储能的模块化多电平变换器变频运行与能量管理机制研究,国家自然科学基金,2016.01-2018.12,主研。

代表性论文

[1] J. Meng, G. Luo, and F. Gao, “Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine,” IEEE Transactions on Power Electronics, vol. 31, no. 3, pp. 2226–2238, 2016. (SCI, ESI高被引论文)

[2] J. Meng, et al., “An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery,” IEEE Transactions on Industry Applications, vol. 54, no. 2, pp. 1583–1591, 2018. (SCI, ESI高被引论文)

[3] J. Meng, et al. “A Simplified Model based State-of-Charge Estimation Approach for Lithium-ion Battery with Dynamic Linear Model,” IEEE Transactions on Industrial Electronics, vol. 66, no. 10, pp. 7717-7727, 2019. (SCI)

[4] J. Meng, et al., “Low-complexity Online Estimation for LiFePO4 Battery State of Charge in Electric Vehicles,” Journal of Power Sources, vol. 395, pp. 280–288, 2018. (SCI)

[5] J. Meng, et al., “Lithium-ion Battery State-of-Health Estimation in Electric Vehicle Using Optimized Partial Charging Voltage Profiles,” Energy, vol.185, pp. 1054-1063, 2019. (SCI)

[6] J. Meng, et al. “A Novel Multiple Correction Approach for Fast Open Circuit Voltage Prediction of Lithium-ion Battery”, IEEE Transactions on Energy Conversion, vol. 34, no. 2, pp. 1115-1123, 2019. (SCI)

[7] L. Cai, J. Meng*, D.-I. Stroe, G. Luo, and R. Teodorescu, “An Evolutionary Framework for Lithium-ion Battery State of Health Estimation,” Journal of Power Sources, vol. 412, pp. 615–622, 2019. (SCI)

[8] J. Meng, G. Luo, M. Ricco, M. Swierczynski, D.-I. Stroe, and R. Teodorescu, “Overview of Lithium-Ion Battery Modeling Methods for State-of-Charge Estimation in Electrical Vehicles,” Applied Science, vol. 8, no. 5, pp. 659, 2018. (SCI, Invited Paper)

[9] J. Meng, L. Cai, G. Luo, D.-I. Stroe, and R. Teodorescu, “Lithium-ion Battery State of Health Estimation with Short-term Current Pulse Test and Support Vector Machine,” Microelectronics Reliability, vol. 88–90, pp. 1216–1220, 2018. (SCI)

[10] J. Meng, L. Cai, D.-I. Stroe, J. Ma, G. Luo and R. Teodorescu, “An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system”, Energy, vol. 206, 118140, 2020.(SCI)

[11] L. Cai, J. Meng*, D.-I. Stroe, G. Luo, J. Peng and R. Teodorescu, “Multi-objective Optimization of Data-driven Model for Lithium-ion Battery SOH estimation with Short-term Feature”, IEEE Transactions on Power Electronics, Early Access, DOI:10.1109/TPEL.2020.2987383.2020. (SCI)

代表性会议论文

[1] J. Meng, et al., “An Overview of Online Implementable SOC Estimation Methods for Lithium-ion Batteries,” in Proceedings - 2017 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and 2017 Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP, 2017, pp. 573–580.

[2] G. Luo, J. Meng, X. Ji, X. Cai, and F. Gao, “A Data Driven Model for Accurate SOC Estimation in EVs,” in 2017 IEEE International Conference on Industrial Technology (ICIT), 2017, pp. 352–357.

[3] J. Meng, G. Luo, E. Breaz, and F. Gao, “A Robust Battery State-of-charge Estimation Method for Embedded Hybrid Energy System,” in IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015, pp. 001205–001210.

[4] J. Meng, G. Luo, and F. Gao, “State-of-charge Estimation for Lithium-ion Battery Using AUKF and LSSVM,” in 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014, pp. 1–6.

[5] T. Gherman, M. Ricco, J. Meng, R. Teodorescu, and D. Petreus, “Smart Integrated Charger with Wireless BMS for EVs,” in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 2151–2156.

[6] J. Peng, W. Liu, J. Meng, T. Meng, and G. Luo, “Initial Orientation and Sensorless Starting Strategy of Wound-Rotor Synchronous Starter/Generator,” in Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2016.

[7] X. Sui, S. He, D. Stroe, X. Huang,J. Meng, R. Teodorescu, “A Review of Sliding Mode Observers based on Equivalent Circuit Model for Battery SoC Estimation,” in IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019.

[8] X. Huang, Y. Li, J. Meng, X. Sui, R. Teodorescu, and D.I. Stroe, “The Effect of Pulsed Current on the Performance of Lithium-ion Batteries,” in 2020 IEEE Energy Conversion Congress and Exposition (ECCE),2020.

[9] X. Huang, A.B. Acharya, J. Meng, X. Sui, R. Teodorescu and D.I. Stroe, “Wireless Smart Battery Management System for Electric Vehicles,” in 2020 IEEE Energy Conversion Congress and Exposition (ECCE),2020.

[10]  X. Sui, S. He,J. Meng, R. Teodorescu, and D.I. Stroe, “Fuzzy Entropy-Based State of Health Estimation of LiFePO4 Batteries Considering Temperature Variation,” in 2020 IEEE Energy Conversion Congress and Exposition (ECCE),2020.

国家发明专利

[1] 孟锦豪, 刘平, 王建武.一种无电流传感器的电池荷电状态估计方法[P]. 公开号:109752660A2019-5-14.

[2] 刘平, 孟锦豪, 王建武.一种锂电池单体的荷电状态估计算法[P]. 公开号:109633472A, 2019-4-16.

[3] 刘平, 孟锦豪, 王建武. 一种分布式电池组荷电状态估计算法[P]. 公开号:109633473A2019-4-16.

[4] 骆光照, 张蓉, 张莎, 涂文聪, 韩复振, 孟锦豪. 一种基于优化灰色预测补偿的永磁同步电机转速控制方法 [P]. 陕西:CN104242744A, 2014-12-24.

获奖情况

[1] 陕西省自然科学论文三等奖,陕西省人民政府,2020,排名1/3;

[2] 陕西省高校科学技术二等奖,陕西省教育厅,2020,排名4/8。

学术兼职

IEEE会员,长期担任 IEEE Transaction on Power Electronics、IEEE Transaction on Industrial Electronics、IEEE Transaction on Energy Conversion、Journal of Power Sources等国内外高水平学术期刊审稿人。

 

欢迎各位同学联系报考我的研究生,进入电力系统稳定与高压直流输电团队,为网赌十大网站新能源实验室的发展贡献力量。联系方式:jinhao@scu.edu.cn

 

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