孟錦豪，男，博士，四川大學電氣工程學院副研究員。
基本介紹
- 中文名：孟錦豪
- 畢業院校：奧爾堡大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：電氣工程
- 職務：副研究員
- 任職院校：四川大學電氣工程學院
研究方向,個人經歷,學術成果,
研究方向
電力儲能系統的建模與分析、鋰電池的建模及狀態估計、混合儲能系統的能量管理。
個人經歷
教育經歷
2014.03-2019.06西北工業大學自動化學院電氣工程專業博士（導師：駱光照）
2016.12-2018.12奧爾堡大學能源技術系聯合培養博士（導師：Remus Teodorescu）
工作經歷
2019.11-今四川大學電氣工程學院副研究員 團隊：電力系統穩定與控制研究團隊實驗室：電氣工程學院
學術成果
科研項目
在研科研項目
[1]四川大學人才引進經費，2019.12-2022.12，主持；
結題科研項目
[1]混合儲能和多電機組合驅動系統的設計與能量管理策略研究，陝西省重點研發計畫，2017.01-2018.12，主研；
[2]基於超級電容儲能的模組化多電平變換器變頻運行與能量管理機制研究，國家自然科學基金，2016.01-2018.12，主研。
論文與專利
[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, Mar. 2016. (SCI,IF=7.224,ESI高被引論文)
[2]J. Menget al., “AnOverviewand 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=3.347,ESI高被引論文)
[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, 2019, vol. 66, no. 10, pp. 7717-7727. (SCI,IF=7.503)
[4]J. Menget al., “Low-complexity Online Estimation for LiFePO4Battery State of Charge in Electric Vehicles,”Journal of Power Sources, vol. 395, pp. 280–288, 2018. (SCI,IF=7.467)
[5]J. Menget 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,IF=5.537)
[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, 2019, vol. 34, no. 2, pp. 1115-1123. (SCI,IF=4.614)
[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,IF=7.467)
[8]J. Meng, G. Luo, M. Ricco, M. Swierczynski, D.-I. Stroe, and R. Teodorescu, “Overviewof Lithium-Ion Battery Modeling Methods for State-of-Charge Estimation in Electrical Vehicles,”Applied Science., vol. 8, no. 5, pp. 659, Apr. 2018. (SCI,IF=2.217，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,IF=1.483)
[10] A.-I. Stroe,J. Meng, D.-I. Stroe, M. Świerczyński, R. Teodorescu, and S. K. Kær, “Influence of Battery Parametric Uncertainties on the State-of-charge Estimation of Lithium Titanate Oxide-based Batteries,”Energies, vol. 11, no. 4, 2018. (SCI,IF=2.707)
[11] M. Ricco,J. Meng, T. Gherman, G. Grandi, R. Teodorescu, “Smart Battery Pack for Electric Vehicles Based on Active Balancing with Wireless Communication Feedback,”Energies, vol. 12, no. 20, 2019. (SCI,IF=2.707)
[12] W. Li, Z. Jiao, Q. Xiao,J. Meng, H. Jia, R. Teodorescu, and F. Blaabjerg, “A Study on Performance Characterization Considering Six-Degree-of-Freedom Vibration Stress and Aging Stress for Electric Vehicle Battery Under Driving Conditions,”IEEE Access, vol. 7, 2019. (SCI,IF=4.098)
[13] X. Sui, D.-I. Stroe, S. He, X. Huang,J. Meng, R. Teodorescu, “The Effect of Voltage Dataset Selection on the Accuracy of Entropy-Based Capacity Estimation Methods for Lithium-Ion Batteries,” Applied Sciences, vol. 9, no. 19, 2019. (SCI,IF=2.217)
[14]J. Menget al., “An Overview of Online Implementable SOC Estimation Methods for Lithium-ion Batteries,” inProceedings - 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, 2017, pp. 573–580.
[15] G. Luo,J. Meng, X. Ji, X. Cai, and F. Gao, “A Data Driven Model for Accurate SOC Estimation in EVs,” in2017 IEEE International Conference on Industrial Technology (ICIT), 2017, pp. 352–357.
[16]J. Meng, G. Luo, E. Breaz, and F. Gao, “A Robust Battery State-of-charge Estimation Method for Embedded Hybrid Energy System,” inIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015, pp. 001205–001210.
[17]J. Meng, G. Luo, and F. Gao, “State-of-charge Estimation for Lithium-ion Battery Using AUKF and LSSVM,” in2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014, pp. 1–6.
[18] 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.
[19] J. Peng, W. Liu,J. Meng, T. Meng, and G. Luo, “Initial Orientation and Sensorless Starting Strategy of Wound-Rotor Synchronous Starter/Generator,” inConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2016.
[20] 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,” inIEEE 28th International Symposium on Industrial Electronics (ISIE), 2019.
國家發明專利
[1]孟錦豪,劉平,王建武.一種無電流感測器的電池荷電狀態估計方法[P].公開號：109752660A，2019-5-14.
[2]劉平,孟錦豪,王建武.一種鋰電池單體的荷電狀態估計算法[P].公開號：109633472A, 2019-4-16.
[3]劉平,孟錦豪,王建武.一種分散式電池組荷電狀態估計算法[P].公開號：109633473A，2019-4-16.
[4]駱光照,張蓉,張莎,塗文聰,韓復振,孟錦豪.一種基於最佳化灰色預測補償的永磁同步電機轉速控制方法[P].陝西：CN104242744A, 2014-12-24.
