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孟锦豪

电子邮箱：
所在单位：电气工程学院
学历：博士研究生毕业
办公地点：创新港3号巨构5094，兴庆东一楼东223
性别：男
联系方式：
学位：博士
职称：副教授
在职信息：在职
毕业院校：西北工业大学
博士生导师：是
硕士生导师：是
所属院系：电气工程学院
学科：电气工程
科研成果
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科研成果

已发表论文

  1. Meng, J., Du, X.*, Peng, J., Lin, M., Song, Z., 2024a. Rapid Lithium-Ion Battery Impedance Measurements Using Binary Sequence With Optimized Frequency Components. IEEE Transactions on Industrial Electronics 71, 7190–7198.

  2. Meng, J., Peng, J.*, Cai, L., Song, Z., 2024b. Rapid Impedance Extraction for Lithium-Ion Battery by Integrating Power Spectrum and Frequency Property. IEEE Transactions on Industrial Electronics 71, 7220–7229.

  3. Meng, J., You, Y., Lin, M.*, Wu, J., Song, Z., 2024c. Multi-scenarios transferable learning framework with few-shot for early lithium-ion battery lifespan trajectory prediction. Energy 286, 129682.

  4. Meng, J., Hu, D., Lin, M.*, Peng, J., Wu, J., Stroe, D.-I., 2025. A Domain-Adversarial Neural Network for Transferable Lithium-Ion Battery State-of-Health Estimation. IEEE Transactions on Transportation Electrification 11, 7732–7742.

  5. Meng, J., Cai, L.*, Yang, S., Li, J., Zhou, F., Peng, J., Song, Z., 2024a. An Empirical-Informed Model for the Early Degradation Trajectory Prediction of Lithium-ion Battery. IEEE Transactions on Energy Conversion 39, 2299–2311.

  6. Meng, J., Yang, F.*, Peng, J., Gao, F., 2024b. A Proximal Policy Optimization Based Control Framework for Flexible Battery Energy Storage System. IEEE Transactions on Energy Conversion 39, 1183–1191.

  7. Fu, J.,Song, Z.*, Meng, J.*, Guo, J., Yang, K., Liu, W., Huan, L., 2026. AI-augmented electrochemical model for lithium-ion battery: Recent advances and perspectives. Journal of Energy Chemistry 113, 1056–1080.

  8.  Zheng, K., Meng, J.*, Yang, Z., Zhou, F., Yang, K., Song, Z., 2024. Refined lithium-ion battery state of health estimation with charging segment adjustment. Applied Energy 375, 124077.

  9. Zheng, K., Li, Y., Yang, Z., Zhou, F., Yang, K., Song, Z., Meng, J.*, 2025. Adversarial training defense strategy for lithium-ion batteries state of health estimation with deep learning. Energy 317, 134411.

  10. Pan, Y., Meng, J.*, Zhang, S., Liu, W., Fu, J., Peng, Q., Xiao, B., Song, Z., 2025. An automated circuit model for electrochemical impedance spectroscopy explanation of lithium-ion batteries. Journal of Energy Storage 127, 117147.

  11. Du, X., Meng, J.*, Amirat, Y., Gao, F., Benbouzid, M.*, 2025a. Dynamic Impedance Spectrum: A Novel Metric for Lithium-Ion Batteries Overcharging Diagnosis. IEEE Transactions on Industrial Electronics 72, 4238–4247.

  12. Du, X., Meng, J.*, Amirat, Y., Gao, F., Benbouzid, M.*, 2025b. Feature selection strategy optimization for lithium-ion battery state of health estimation under impedance uncertainties. Journal of Energy Chemistry 101, 87–98.

  13. Du, X., Meng, J.*, Amirat, Y., Gao, F., Benbouzid, M.*, 2025d. Real-time lithium plating onset detection for lithium-ion batteries via dynamic impedance spectra analysis. Applied Energy 402, 126810.

  14. Du, X., Meng, J.*, Xue, Z., Amirat, Y., Gao, F., Benbouzid, M.*, 2025e. Revolutionizing Battery Safety: Real-Time Insights with Dynamic Electrochemical Impedance Spectroscopy. ACS Energy Letters. 10, 2292–2304.

  15. Du, X., Meng, J.*, Peng, J., Peng, Q., Wu, J., & Lin, M. (2023). A two-stage optimization framework for fast lithium-ion battery impedance measurement. IEEE Transactions on Power Electronics, 38(5), 5659-5664.

  16. Liu, W., Yang, Z., Chen, G., Meng, J., Yang, K., Song, Z.*, 2025b. Flexible quadratic residue ternary excitation for lithium-ion battery broadband impedance measurement. Journal of Energy Storage 134, 118194.

  17. Yang, Z., Zheng, K., Zheng, H., Zhou, F., Meng, J., Song, Z.*, 2025b. Multi-task learning framework for fault detection in energy storage system lithium-ion batteries: From degradation to slight overcharge. Journal of Energy Storage 127, 117164.

  18. Yang, Z., Zhou, F., Zheng, K., Meng, J., Song, Z.*, 2026. Trustworthy data augmentation for fault detection of lithium-ion batteries in energy storage systems. Journal of Energy Storage 141, 119060.

  19. 周飞帆，孟锦豪，邹子涵等.基于液冷与相变材料的电池储能系统复合热管理[J/OL].高电压技术,1-10[2026-05-29].https://doi.org/10.13336/j.1003-6520.hve.20250996.

  20. 刘文超，孟锦豪，张涛等.基于动态电化学阻抗谱的锂电池荷电状态估计[J].高电压技术,2026,52(1):450-459.DOI:10.13336/j.1003-6520.hve.20250221.

  21. 杨智鹏，宋政湘，孟锦豪等.基于单体到模组迁移的磷酸铁锂储能系统SOH评估方法[J].高电压技术,2023,49(10):4142-4149.DOI:10.13336/j.1003-6520.hve.20230876.

授权专利 

  1. 孟锦豪，潘禹昊，张世睿，刘文超，付俊成，李祎婧，宋政湘. 锂离子电池电化学阻抗谱分析中自动化电路建模方法及系统[ZH]，授权，CN119886006A，2025-11-26.

  2. 孟锦豪，郑琨，宋政湘，李祎婧，杨智鹏，周飞帆，杨騉. 基于对抗防御策略的锂电池健康状态估计的方法及系统[ZH]，公开，CN119270114A，2025-01-07.

  3. 孟锦豪，潘禹昊，宋政湘，张世睿，杨智鹏，周飞帆，邹子涵. 一种锂离子电池无传感器温度估计方法及系统[ZH]，公开，CN119986394A，2025-05-13.

  4. 孟锦豪，代云腾，彭乔，刘天琪，彭泽峰，曾雪洋，李燕，陈刚. 一种储电装置在各个电荷状态下支撑电流峰值的测定方法[P], 公开, CN115219771A, 2022-10-21.

  5. 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]，授权，ZL201910061004.3，2021-07-16.

  6. 孟锦豪，彭纪昌，马俊鹏，王顺亮，刘天琪. 一种退役动力锂电池的混合建模方法[P], 授权, ZL202010827778.5, 2021-10-22.

  7. 孟锦豪，蔡磊， 彭纪昌，马俊鹏，王顺亮，刘天琪. 基于充电电压曲线几何特征的锂电池健康状态估计方法[P], 授权，ZL202010826062.3, 2021-06-01.

  8. 孟锦豪，彭纪昌，马俊鹏，王顺亮，刘天琪. 一种用于分布式储能系统的锂电池状态估计方法[P], 授权, ZL202010826666.8, 2021-08-31.

  9. 孟锦豪，陈丹，黄焕炀，刘平，卢继武，刘天琪. 一种适用动力锂电池非线性衰退过程的RUL预测方法[P]，授权，ZL202111058653.1，2021-12-10.

  10. 孟锦豪，黄焕炀，蔡磊，刘平，刘天琪. 一种基于电压片段的锂电池健康状态估计方法[P], 授权，202110546304.8, 2021-05-19.

  11. 孟锦豪，杜星皓，张英敏，王顺亮，刘平，刘天琪. 一种基于信息评估机制的锂电池模型参数辨识方法[P], 授权, 202110373019.0, 2021-04-07.

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