已发表论文

1. J. Meng, L. Cai, D. Stroe, X. Huang, J. Peng, T. Liu, R. Teodorescu, “An Automatic Weak Learner Formulation for Lithium-ion Battery State of Health Estimation”, IEEE Transactions on Industrial Electronics, 2021, vol. 69, no. 3, pp. 2659-2668. (SCI, IF=8.236, ESI高被引论文)
2. 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, Mar. 2016. (SCI, IF=5.967, ESI高被引论文)
3. J. Meng et al., “An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery,” IEEE Transactions on Industry Applications, 2018, vol. 54, no. 2, pp. 1583–1591. (SCI, IF= 4.079, ESI高被引论文)
4. J. Meng, X. Du, J. Peng, et al. “Rapid Lithium-Ion Battery Impedance Measurements Using Binary Sequence With Optimized Frequency Components,” IEEE Transactions on Industrial Electronics, 2024, vol. 71, no.7, pp. .7190-8. (SCI, IF= 8.162)
5. J. Meng, J. Peng, L. Cai, et al. “Rapid Impedance Extraction for Lithium-Ion Battery by Integrating Power Spectrum and Frequency Property,” IEEE Transactions on Industrial Electronics, 2024, vol. 71, no. 7, pp. 7220-9. (SCI, IF= 8.162)
6. J. Meng, D. Stroe, M. Ricco, G. Luo, and R. Teodorescu, “A Simplified Model based State-of-Charge Estimation Approach for Lithium-ion Battery with Dynamic Linear Model,” IEEE Transactions on Industrial Electronics, 2019, vol. 66, no. 10, pp. 7717-7727. (SCI, IF= 8.162)
7. J. Meng, Y. You, M. Lin, et al. “Multi-scenarios transferable learning framework with few-shot for early lithium-ion battery lifespan trajectory prediction,” Energy, 2024, vol. 286, pp. 129682. (SCI, IF=8.857)
8. J. Meng, L. Cai, D. Stroe, J. Ma, G. Luo, R. Teodorescu, “An Optimized Ensemble Learning Framework for Lithium-ion Battery State of Health Estimation in Energy Storage System,” Energy, vol.206, pp. 118140, 2020. (SCI, IF=8.857)
9. J. Meng, L. Cai, D. Stroe, G. Luo, X. Sui, R. Teodorescu, “Lithium-ion Battery State-of-Health Estimation in Electric Vehicle Using Optimized Partial Charging Voltage Profiles,” Energy, vol.185, pp. 1054-1063, 2019. (SCI, IF=8.857)
10. J. Meng, M. Ricco, A. Acharya, G. Luo, M. Swierczynski, D. Stroe, R. Teodorescu, “Low-complexity Online Estimation for LiFePO4 Battery State of Charge in Electric Vehicles,” Journal of Power Sources, vol. 395, pp. 280–288, 2018. (SCI, IF=9.794)
11. J. Meng, L. Cai, S. Yang, et al. “An Empirical-informed Model for the Early Degradation Trajectory Prediction of Lithium-ion Battery,” IEEE Transactions on Energy Conversion, 2024, pp. 1-14. (SCI, IF= 5)
12. J. Meng, F. Yang, J. Peng, et al. “A Proximal Policy Optimization Based Control Framework for Flexible Battery Energy Storage System,” IEEE Transactions on Energy Conversion, 2024, vol. 39, no. 2, pp. 1183-1191. (SCI, IF= 5)
13. J. Meng, D. Stroe, M. Ricco, G. Luo, M. Swierczynski, R. Teodorescu, “A Novel Multiple Correction Approach for Fast Open Circuit Voltage Prediction of Lithium-ion Battery”, IEEE Transactions on Energy Conversion, 2019, vol. 34, no. 2, pp. 1115-1123. (SCI, IF= 4.877)
14. 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, p. 659, 2018. (SCI, IF=2.838, Feature Paper, Editor’s Choice)
15. 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, IF=1.418, Highly cited paper of Microelectronics Reliability since 2018)
16. J. Wu, X. Cui, J. Meng, J. Peng and M. Lin, "Data-Driven Transfer-Stacking-Based State of Health Estimation for Lithium-Ion Batteries," IEEE Transactions on Industrial Electronics, vol. 71, no. 1, pp. 604-614, Jan. 2024, doi: 10.1109/TIE.2023.3247735. (SCI, ESI高被引论文)
17. X. Huang, W. Liu, A. Acharya, J. Meng, R. Teodorescu, D. Stroe, “Effect of Pulsed Current on Charging Performance of Lithium-ion Batteries”, IEEE Transactions on Industrial Electronics, 2022, vol. 69, no. 10, pp. 10144-10153. (IF=8.236)
18. M. Sun, H. Wang, P. Liu, S. Huang, P. Wang, J. Meng, “Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion,” IEEE Transactions on Industrial Electronics, 2022, vol. 69, no. 3, pp. 3047-3058. (IF=7.515, ESI高被引论文)
19. Du, X., J. Meng, Y. Amirat, F. Gao and M. Benbouzid. "Voltage Hysteresis Cancellation for Fast Impedance Measurements of Lithium-ion Batteries in Short Relaxation Process." IEEE Transactions on Transportation Electrification, 2024, DOI: 10.1109/TTE.2024.3399051.
20. Du, X., J. Meng, Y. Amirat, F. Gao and M. Benbouzid. "Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis: A comprehensive review." Journal of Energy Chemistry, 2024, vol. 95, pp. 464-483.
21. Liu, X., Q. Tang, Y. Feng, M. Lin, J. Meng and J. Wu. "Fast sorting method of retired batteries based on multi-feature extraction from partial charging segment." Applied Energy, vol. 351, pp. 121930.
22. J. Guo, Y. Li, J. Meng, K. Pedersen, L. Gurevich, D. Stroe, “Understanding the Mechanism of Capacity Increase during Early Cycling of Commercial NMC/graphite Lithium-ion Batteries,” Journal of Energy Chemistry, 2022, vol. 74, 34-44. (IF=13.599)
23. Lyu, C., Y. Zhang, Y. Bai, K. Yang, Z. Song, Y. Ma and J. Meng. "Inner-outer layer co-optimization of sizing and energy management for renewable energy microgrid with storage." Applied Energy, 2024, vol. 363, pp. 123066. (IF=10.1)
24. 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), pp. 1–6. IEEE, 2014.
25. 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, pp. 001205-001210. IEEE, 2015.’
26. J. Peng, W. Liu, J. Meng, T. Meng, and G. Luo, “Initial Orientation and Sensorless Starting Strategy of Wound-rotor Synchronous Starter/generator. In 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), pp. 2748-2753. IEEE, 2016.
27. J. Meng, M. Ricco, G. Luo, M. Swierczynski, D. Stroe, A. Stroe, and R. Teodorescu, “An Overview of Online Implementable SOC Estimation Methods for Lithium-ion Batteries”, In 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), pp. 573-580. IEEE, 2017.

授权专利 

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]，授权，ZL201910061004.3，2021-07-16.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊. 一种基于热一致性的退役动力锂电池筛选方法[P], 授权, 202010625359.3, 2020-07-02.
9. 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]. 授权, CN109633472B, 2020-11-24.
10. 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]. 授权, CN109633573B, 2021-03-09.
11. 骆光照, 黄晓东, 孟锦豪, 赵文学. 基于量测值残差序列的自适应H无穷滤波SOC估计方法[P], 授权, 202010764216.0, 2020-08-02.
12. 彭纪昌, 孟锦豪, 刘海涛, 郝思鹏, 孟高军. 一种退役动力锂电池分选方法[P], 授权, 202010625484.4, 2020-07-02.
13. 卢继武, 鲁玉峰, 刘平, 孟锦豪, 刘义, 王光. 一种车载显示系统及车辆[P]，授权，202122084258.2, 2021-08-31.
14. 卢继武, 许鹤, 刘平, 孟锦豪, 刘义, 张景哲. 一种ECU异常识别方法[P]，授权，202110978223.5, 2021-08-25.
15. 王顺亮, 陈代忠, 焦宁, 孟锦豪, 刘天琪. 一种电网换相换流器交直流侧谐波计算方法[P], 授权, 202011638944.3, 2020-12-31.
16. 刘凯龙, 谢翌, 冯飞, 孟锦豪, 彭琦奥. 一种基于移植神经网络的电池容量衰减轨迹预测方法[P], 授权, 202010060435.0, 2020-01-09.
17. 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]. 授权, CN104242744A, 2014-12-24.
18. 孟锦豪, 蔡磊, 刘凯龙, 彭纪昌, 王敏, 王顺亮. 一种退役动力锂电池健康状态的集成估计方法[P], 实审, 202010549288.3, 2020-06-16.
19. 彭纪昌, 孟锦豪, 刘海涛, 郝思鹏. 一种锂电池健康状态估计方法[P], 实审, 202011527735.1, 2020-12-22.
20. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊, 郝思鹏. 一种基于红外图像热点特征聚类分析的退役锂电池筛选方法[P], 实审, 202010805609.1, 2020-08-12.
21. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊, 孟高军. 一种退役动力锂电池热特征一致性筛选方法[P], 实审, 202010805610.4, 2020-08-12.
22. 黄焕炀, 孟锦豪, 卢继武, 刘平, 张景哲, 刘义, 金道元. 锂电池健康状态估计方法、装置、设备及可读存储介[P], 实审，202111224013.3, 2021-10-21.
23. 卢继武, 鲁玉峰, 刘平, 孟锦豪, 刘义, 王光. 一种车载显示系统、车辆及车载摄像头图像显示方法[P], 实审，202111011887.0，2021-08-31.
24. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊, 郝思鹏. 一种基于红外视频的退役动力锂电池热点自动检测方法[P], 实审, 202010624636.9, 2020-07-02.
25. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊. 基于温度变化聚类分析的退役动力锂电池筛选方法及系统[P], 实审, 202010610610.9, 2020-06-30.
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28. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊. 一种考虑电池组健康状态平衡的移动充电桩群体调度方法[P], 实审, 202010609254.9, 2020-06-29.
29. 彭纪昌, 孟锦豪, 刘海涛, 蔡磊. 一种基于Sarsa算法的移动充电桩群体智能调度方法[P], 实审, 202010607160.8, 2020-06-29.
30. 彭纪昌, 孟锦豪, 刘海涛, 刘凯龙. 一种大数据场景下的移动充电桩群体智能调度方法[P], 实审, 202010583700.3, 2020-06-23.
31. 曾昱升, 孟锦豪, 彭纪昌, 刘平. 一种电热传感器互校正的锂电池健康状态估计方法[P]，授权, 202210250522.1, 2022-03-15.
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