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成果及论文

谷歌学术出版物主页:https://scholar.google.com/citations?user=XEqm9GIAAAAJ&hl=en&oi=ao

代表性论文

[1] Hu X., Zhang K., Liu K., Lin X., Satadru D., Onori S. Advanced Fault Diagnosis for Lithium-Ion Battery Systems, IEEE Industrial Electronics Magazine, 2020.

[2] X Hu, Y Zheng, DA Howey, H Perez, A Foley, M Pecht.Battery warm-up methodologies at subzero temperatures for automotive applications: Recent advances and perspectives.Progress in Energy and Combustion Science[J].2020,77:100806.

https://www.sciencedirect.com/science/article/pii/S0360128519301169

[3] Y Xie, W Li, X Hu, C Zou, F Feng, X Tang.Novel Mesoscale Electrothermal Modeling for Lithium-Ion Batteries[J].IEEE Transactions on Power Electronics,2020,35 (3):2595-2614.

https://ieeexplore.ieee.org/abstract/document/8756078

[4] S Xie, X Hu, Q Zhang, X Lin, B Mu, H Ji.Aging-aware co-optimization of battery size, depth of discharge, and energy management for plug-in hybrid electric vehicles[J].Journal of Power Sources,2020,450:227638.

https://www.sciencedirect.com/science/article/abs/pii/S0378775319316313

[5] Z Song, J Hou, X Li, X Wu, X Hu, H Hofmann, J Sun. The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection[J].  Energy,2020,193:116732.

https://www.sciencedirect.com/science/article/abs/pii/S0360544219324272

[6] X Hu, S Onori, D Howey, Z Li, C Zou.Guest Editorial Special Section on Advanced Informatics for Energy Storage Systems in Electrified Vehicles and Smart Grids[J].IEEE Transactions on Industrial Informatics,2019.

https://ieeexplore.ieee.org/abstract/document/8945350

[7] X Hu, L Xu, X Lin, M Pecht .Battery Lifetime Prognostics[J].Joule,2020.

https://www.sciencedirect.com/science/article/abs/pii/S2542435119305859

[8] Y Xie, X He, X Hu, W Li, Y Zhang, B Liu, Y Sun.An improved resistance-based thermal model for a pouch lithium-ion battery considering heat generation of posts[J].Applied Thermal Engineering,2020,164:114455.

https://www.sciencedirect.com/science/article/pii/S1359431119335628

[9] X Hu, H Jiang, F Feng, B Liu.An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management[J].Applied Energ, 2020,257:114019.

https://www.sciencedirect.com/science/article/pii/S0306261919317064

[10] X Hu, C Zou, X Tang, T Liu, L Hu.Cost-optimal energy management of hybrid electric vehicles using fuel cell/battery health-aware predictive control[J].IEEE Transactions on Power Electronics,2019,35(1):382-392.

https://ieeexplore.ieee.org/abstract/document/8709824

[11] X Hu, W Liu, X Lin, Y Xie.A Comparative Study of Control-Oriented Thermal Models for Cylindrical Li-Ion Batteries[J].IEEE Transactions on Transportation Electrification,2019,5(4):1237-1253.

https://ieeexplore.ieee.org/abstract/document/8901406

[12] F Feng, X Hu, J Liu, X Lin, B Liu.A review of equalization strategies for series battery packs: variables, objectives, and algorithms[J].Renewable and Sustainable Energy Reviews,2019,116:109464.

https://www.sciencedirect.com/science/article/abs/pii/S1364032119306720

[13] T Liu, X Hu, W Hu, Y Zou.A Heuristic Planning Reinforcement Learning-Based Energy Management for Power-Split Plug-in Hybrid Electric Vehicles[J].IEEE Transactions on Industrial Informatics,2019,15(12):6436 - 6445.

https://ieeexplore.ieee.org/abstract/document/8660424

[14] K Liu, X Hu, Z Wei, Y Li, Y Jiang.Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries[J].IEEE Transactions on Transportation Electrification,2019,5 (4):1225-1236.

https://ieeexplore.ieee.org/abstract/document/8853281/

[15] X Hu, T Liu, X Qi, M Barth.Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects[J].IEEE Industrial Electronics Magazine,2019,13 (3):16-25.

https://ieeexplore.ieee.org/abstract/document/8845796/

[16] X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu..State estimation for advanced battery management: Key challenges and future trends[J].Renewable and Sustainable Energy Reviews,2019,114:109334.

https://www.sciencedirect.com/science/article/abs/pii/S1364032119305428

[17] T Liu, X Tang, H Wang, H Yu, X Hu.Adaptive Hierarchical Energy Management Design for a Plug-in Hybrid Electric Vehicle[J].IEEE Transactions on Vehicular Technology,2019,68 (12):11513-11522.

https://ieeexplore.ieee.org/abstract/document/8755512

[18] S Zhang, X Hu, S Xie, Z Song, L Hu, C Hou.Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses[J]. Applied Energy,2019, 256:113891.

https://www.sciencedirect.com/science/article/abs/pii/S0306261919315788

[19] X Zeng, L Xu, Z Deng, F Feng, X Hu.Global Sensitivity Analysis of Battery Single Particle Model Parameters[C]. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC),2019,1-6.

https://ieeexplore.ieee.org/abstract/document/8952424/

[20] A Khalatbarisoltani, L Boulon, DL St-Pierre, X Hu.Decentralized Implementation of an Optimal Energy Management Strategy in Interconnected Modular Fuel Cell Systems[C].2019 IEEE Vehicle Power and Propulsion Conference (VPPC),2019,1-5.

https://ieeexplore.ieee.org/abstract/document/8952213

[21] K Liu, Y Li, X Hu, M Lucu, D Widanalage.Gaussian Process Regression with Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-ion Batteries[J].IEEE Transactions on Industrial Informatics,2019.

https://ieeexplore.ieee.org/abstract/document/8855029

[22] Z Song, S Feng, L Zhang, Z Hu, X Hu, R Yao.Economy analysis of second-life battery in wind power systems considering battery degradation in dynamic processes: Real case scenarios[J]. Applied Energy,2019,251:113411.

https://www.sciencedirect.com/science/article/abs/pii/S0306261919310852

[23] F Feng, X Hu, L Hu, F Hu, Y Li, L Zhang.Propagation mechanisms and diagnosis of parameter inconsistency within Li-Ion battery packs[J].Renewable and Sustainable Energy Reviews,2019,112:102-113.

https://www.sciencedirect.com/science/article/abs/pii/S1364032119303557

[24] K Liu, X Hu, Z Yang, Y Xie, S Feng.Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation[J].Energy conversion and management,2019,195:167-179.

https://www.sciencedirect.com/science/article/pii/S0196890419304996

[25] X Hu, Y Li, C Lv, Y Liu.Optimal Energy Management and Sizing of a Dual Motor-Driven Electric Powertrain[J].IEEE Transactions on Power Electronics,2019,34(8):7489-7501.

https://ieeexplore.ieee.org/abstract/document/8519313/

[26] F Zhang, X Hu, R Langari, D Cao.Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook[J].Progress in Energy and Combustion Science,2019,73: 235-256.

https://www.sciencedirect.com/science/article/pii/S0360128519300048

[27] Z Chen, L Li, X Hu, B Yan, C Yang.Temporal-Difference Learning-Based Stochastic Energy Management for Plug-in Hybrid Electric Buses[J].IEEE Transactions on Intelligent Transportation Systems,2019,20(6):2378-2388.

https://ieeexplore.ieee.org/abstract/document/8486978/

[28] X Wu, X Hu, X Yin, L Li, Z Zeng, V Pickert.Convex programming energy management and components sizing of a plug-in fuel cell urban logistics vehicle[J].Journal of Power Sources,2019, 423:358-366.

https://www.sciencedirect.com/science/article/abs/pii/S0378775319302824

[29] S Xie, X Hu, S Qi, T Xiaolin, K Lang, Z Xin, J Brighton.Model Predictive Energy Management for Plug-In Hybrid Electric Vehicles Considering Optimal Battery Depth of Discharge[J].Energy,2019,173:667-678.

https://www.sciencedirect.com/science/article/abs/pii/S0360544219302695

[30] C Lv, X Hu, A Sangiovanni-Vincentelli, C Marina, Y Li, D Cao.Driving-Style-Based Co-Design Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach[J].IEEE Transactions on Industrial Electronics,2019,66(4):2965-2975.

https://ieeexplore.ieee.org/abstract/document/8400581

[31] W Gao, Y Zheng, M Ouyang, J Li, X Lai, X Hu.Micro-Short Circuit Diagnosis for Series-Connected Lithium-Ion Battery Packs Using Mean-Difference Model[J].IEEE Transactions on Industrial Electronics,2019,66(3),2132-2142.

https://ieeexplore.ieee.org/abstract/document/8365096/

[32] S Xie, X Hu, Z Xin, J Brighton.Pontryagin’s minimum principle based model predictive control of energy management for a plug-in hybrid electric bus[J].Applied energy,2019,236:893-905.

https://www.sciencedirect.com/science/article/abs/pii/S0306261918318518

[33] Z Huang, Z Xie, C Zhang, SH Chan, J Milewski, Y Xie, Y Yang, X Hu.Modeling and multi-objective optimization of a stand-alone PV-hydrogen-retired EV battery hybrid energy system[J].Energy conversion and management,2019,181:80-92.

https://www.sciencedirect.com/science/article/pii/S0196890418313414

[34] 张风奇,胡晓松,许康辉,唐小林,崔亚辉.混合动力汽车模型预测能量管理研究现状与展望[J].机械工程学报,2019,55(10):86-108.

http://www.cnki.com.cn/Article/CJFDTotal-JXXB201910011.htm

[35] Y Yang, H Pei, X Hu, Y Liu, C Hou, D Cao.Fuel Economy Optimization of Power Split Hybrid Vehicles: A Rapid Dynamic Programming Approach[J].Energy,2019,166:929-938.

https://www.sciencedirect.com/science/article/abs/pii/S0360544218321455

[36] S Xie, X Hu, T Liu, S Qi, K Lang, H Li.Predictive Vehicle-Following Power Management for Plug-In Hybrid Electric Vehicles[J].Energy,2019,166:701-714.

https://www.sciencedirect.com/science/article/abs/pii/S036054421832125X

[37] T Liu, B Zhang, Y Yuan, X Zhang.On the application of the raw-observation-based PPP to global ionosphere VTEC modeling: an advantage demonstration in the multi-frequency and multi-GNSS context[J].Journal of Geodesy,2020,94(1):1-20.

https://link.springer.com/article/10.1007/s00190-019-01332-z

[38] T Liu, B Zhang, Y Yuan, J Zha, C Zhao.An efficient undifferenced method for estimating multi-GNSS high-rate clock corrections with data streams in real time[J].Journal of Geodesy,2019,93(9):1435-1456.

https://link.springer.com/article/10.1007/s00190-019-01255-9

[39] J Wu, Y Zou, X Zhang, T Liu, Z Kong, D He.An Online Correction Predictive EMS for a Hybrid Electric Tracked Vehicle Based on Dynamic Programming and Reinforcement Learning[J].

IEEE Access,2019,7:98252-98266.

https://ieeexplore.ieee.org/abstract/document/8752345/

[40] T Liu, B Zhang, Y Yuan, Z Li, N Wang.Multi-GNSS triple-frequency differential code bias (DCB) determination with precise point positioning (PPP)[J].Journal of Geodesy,2019,93(5):765-784.

https://link.springer.com/article/10.1007/s00190-018-1194-3

[41] T Liu, X Tang, H Wang, Y Qin.Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning[J].IEEE/ASME Transactions on Mechatronics,2019.

[42] T Liu, B Wang, D Cao, X Tang, Y Yang.Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Autonomous Vehicles[J].Applied Energy,2019.

[43] T Liu, JW Zhang, Y Qin, Y Xing.Driving cycles-driven energy management for hybrid electric vehicles: a review[J].Renewable & Sustainable Energy Reviews,2019.

[44] Y Li, F Zhang, T Liu, XS Hu.A bi-level control method for smart hybrid electric vehicle during car-following[C].IEEE Vehicle Power and Propulsion Conference (IEEE VPPC),2019.

[45] T Liu, XL Tang, JW Zhang, WB Li, ZJ Deng, Y Yang.Reinforcement learning-enabled decision-making strategies for a vehicle-cyber-physical-system in connected environment[C].    IEEE Vehicle Power and Propulsion Conference (IEEE VPPC),2019.

[46] X Tang, K Yang, T Liu, Y Qin, D Zhang, Q Ji.Transient Dynamic Response Analysis of Engine Start for A Hybrid Electric Vehicle[C].Conference on Vehicle Control and Intelligence, 2019.

https://ieeexplore.ieee.org/abstract/document/8951669/

[47] T Liu, B Tian, Y Ai, L Chen, F Liu, D Cao.Dynamic States Prediction in Autonomous Vehicles: Comparison of Three Different Methods[C].IEEE Intelligent Transportation Systems Conference (ITSC 2019),2019.

https://ieeexplore.ieee.org/abstract/document/8916969/

[48] T Liu, Z Deng, X Tang, H Wang, B Tian, L Chen, D Cao.Predictive freeway overtaking strategy for automated vehicles using deep reinforcement learning[C].Conference on Vehicle Control and Intelligence,2019.

https://ieeexplore.ieee.org/abstract/document/8951536

[49] Z Deng, D Chu, C Wu, T Liu, D Cao.A probabilistic model for driving-style-recognition-enabled driver steering behaviors[J].IEEE Transactions on Vehicular Technology,2019.

[50] G Du, T Liu, Y Zou, Z Kong.Online Updating Energy Management Strategy for a Hybrid Electric Tracked Vehicle[J].IEEE Transactions on Control Systems Technology,2019.

[51] H Wang, Y Huang, A Khajepour, D Cao, T Liu.Ethical decision making in autonomous vehicles: challenges and recent progress[J].IEEE Transactions on Industrial Electronics,2019.

[52] T Liu, Z Deng, G Du, H Wang, M AI-Sharman, D Cao..Heuristics-oriented overtaking decision making for autonomous vehicles using deep reinforcement learning[J].IEEE/ASME Transactions on Mechatronics,2019.

[53] T Liu, B Wang, D Cao, S Zhang, FY Wang.Decision Making and Energy Efficient Control for a Group of Connected Vehicles[J]. IEEE Transactions on Industrial Electronics,2019.

[54] T Liu, B Tian, Y Ai, FY Wang.Parallel Reinforcement Learning-Based Energy Efficiency Improvement for a Cyber-Physical System[J].IEEE/CAA Journal of Automatica Sinica,2019.

https://ieeexplore.ieee.org/abstract/document/8766202/

[55] W Yang, X Tang, Q Liang.Tooth Surface Contact Analysis of Involute Rotate Vector Reducer Based on a Finite Element Linear Programming Method[J].IEEE Access, 2019,7:176719-176731.

https://ieeexplore.ieee.org/abstract/document/8922726/

[56] Y Qin, C Wei, X Tang, N Zhang, M Dong, C Hu.A novel nonlinear road profile classification approach for controllable suspension system: Simulation and experimental validation[J].

Mechanical Systems and Signal Processing,2019,125:79-98.

https://www.sciencedirect.com/science/article/abs/pii/S0888327018304163

[57] C Hu, X Tang, L Zou, K Yang, Y Li, L Zheng.Numerical and experimental investigations of noise and vibration characteristics for a dual-motor hybrid electric vehicle[J].IEEE Access,2019,7:77052-77062.

https://ieeexplore.ieee.org/abstract/document/8723198/

[58] X Zhang, X Tang, W Yang.Analysis of transmission error and load distribution of a hoist two-stage planetary gear system[J].Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics,2019,233(1):3-16.

https://journals.sagepub.com/doi/abs/10.1177/1464419318770886

[59] Y Qin, H Wang, Y Huang, X Tang.Real-Time Road Profile Identification and Monitoring: Theory and Application[J].Synthesis Lectures on Advances in Automotive Technology,2019,3(1):1-148.

https://www.morganclaypool.com/doi/abs/10.2200/S00890ED1V01Y201812AAT005

[60] X Tang, D Zhang, T Liu, A Khajepour, H Yu, H Wang.Research on the energy control of a dual-motor hybrid vehicle during engine start-stop process[J].Energy,2019,166:1181-1193.

https://www.sciencedirect.com/science/article/abs/pii/S0360544218321261

 

代表性专利

[1] 胡晓松,李亚鹏,冯飞等,基于纯电动汽车的双电机布置和凸优化算法的转矩优化方法201810002393.82019.05

[2] 胡晓松,陈科坪,冯飞等,基于模型预测控制的混合动力车队协同能量管理方法,201810123988.92019.06

[3] 胡晓松,刘文学,冯飞等,一种基于电池电热耦合模型的SOCSOT联合估计方法,201810124009.12018.02

[4] 胡晓松,冯飞,江海赋等,一种基于等效电路模型的动力电池SOC/SOH/SOP联合估计方法,201810313074.92018.04

[5] 胡晓松,李亚鹏,冯飞等,三电机传动结构纯电动汽车及其转矩分配优化算法,201810283989.X2018.04 

[6] 胡晓松,李亚鹏,冯飞等,基于MPC和凸优化算法的纯电动汽车自适应巡航控制方法,201810313067.92018.04 

[7] 胡晓松,冯飞,许俊雄等,基于观测器的电动车辆锂离子电池传感器故障诊断方法,201810967540.52018.08

[8] 胡晓松,冯飞,郑宇生等,一种数据驱动的电动车辆锂离子电池析锂诊断方法,201811319070.82018.11

[9] 胡晓松,张硕,谢翌等,一种基于动态规划的混合动力公交车AMT换挡策略,201811487895.02018.12

[10]胡晓松,李亚鹏,冯飞等,基于MPC和凸优化算法的纯电动汽车自适应巡航控制方法,201810313067.92018.04 

[11] 胡晓松邓昕晨冯飞等,基于改进分数阶模型的锂离子电池荷电状态估计方法,201910372379.12019.05

[12] 胡晓松侯聪解少愽等,一种新能源乘用车城市立体工况的构建方法,201910562062.42019.06

[13] 胡晓松侯聪解少愽等,一种串联式混合动力电动汽车动力模式的确定系统,201910563298.X2019.06

[14] 胡晓松张硕唐小林等,一种基于PMP原理的插电式混合动力系统双态自适应控制方法,201911040740.72019.10

[15] 胡晓松刘文学谢翌等,一种面向控制的锂电池热模型建立方法,201911244062.62019.12

[16] 胡晓松刘文学谢翌等,一种多时间尺度的方形锂电池SOCSOT联合估计方法,201911244066.42019.12

[17] 胡晓松胡凤玲冯飞等,一种新能源汽车车载数据自适应时间间隔传输方法,201911320859.X2019.12

[18] 胡晓松车云弘刘波等,基于不一致性评估的电池组SOHRUL预测方法及系统,201911245131.52019.12

[19] 胡晓松张小倩唐小林等,基于MPCHEV自适应巡航中多目标的能量管理方法,202010022703.X2019.12

[20] 胡晓松韩杰唐小林等,一种插电式混合动力汽车传动系统的评价与参数优化方法,202010023517.82019.12