代表性论文：萝莉 在线

[1] He Hongwen*， Yan Song， Xiao Zhenjun. Integrated control method for a fuel cell hybrid system. Asia-Pacific Journal of Chemical Engineering. 2009， 4(1):68-72

[2] He Hongwen*， Xiong Rui， Zhang Xiaowei， Sun Fengchun， Fan JinXin. State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model. IEEE Transactions on Vehicular Technology. 2011， 60(4): 1461-69

[3] He Hongwen*， Xiong Rui， Guo Hongqiang. Online estimation of model parameters and state-of-charge of LiFePO(4) batteries in electric vehicles. Applied Energy. 2012， 89(1): 413-420

[4] He Hongwen*， Zhang Xiaowei， Xiong Rui， Xu Yongli， Guo Hongqiang. Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles. Energy. 2012， 39(1): 310-318

[5] Xiong Rui， He Hongwen*， Sun Fengchun， Liu Xinlei， Liu Zhentong. Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles. Journal of Power Sources. 2013， 229:159-169

[6] Xiong Rui， He Hongwen*， Sun Fengchun， Zhao Kai. Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach. IEEE Transactions on Vehicular Technology. 2013， 62(1):108-117

[7] He Hongwen*， Zhang Yongzhi， Xiong Rui， Wang Chun. A novel Gaussian model based battery state estimation approach: State-of-Energy. Applied Energy. 2015， 151:41-48

[8] He Hongwen*， Xiong Rui， Peng Jiankun. Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS mu COS-II platform. Applied Energy. 2016， 162:1410-1418

[9] Liu Wei， He Hongwen*， Sun Fengchun. Vehicle state estimation based on Minimum Model Error criterion combining with Extended Kalman Filter. Journal of the Franklin Institute – Engineering and Applied Mathematics. 2016， 353(4):834-56

[10] Sun Fengchun， Liu Wei， He Hongwen*， Guo Hongqiang. An integrated control strategy for the composite braking system of an electric vehicle with independently driven axles. Vehicle System Dynamics. 2016， 54(8): 1031-52

[11] Liu Zhentong， He Hongwen*. Sensor fault detection and isolation for a lithium-ion battery pack in electric vehicles using adaptive extended Kalman filter. Applied Energy， 2017， 185: 2033-44

[12] Sun Chao， Sun Fengchun， He Hongwen*. Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles. Applied Energy， 2017， 185: 1644-53

[13] Peng Jiankun， He Hongwen*， Xiong Rui. Rule based energy management strategy for a series-parallel plug-in hybrid electric bus optimized by dynamic programmin. Applied Energy， 2017， 185: 1633-43

[14] Wang Chun， He Hongwen*， Zhang Yongzhi， Mu Hao. A comparative study on the applicability of ultracapacitor models for electric vehicles under different temperatures. Applied Energy， 2017， 196: 268-78

[15] Xie Shanshan， He Hongwen*， Peng Jiankun*. An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses. Applied Energy， 2017， 196: 279-88

[16] Zhang Yongzhi， Xiong Rui*， He Hongwen*， Shen Weixiang. Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation. IEEE Transactions on Power Electronics. 2017， 32(6):4421-31

[17] Li Gaopeng， Zhang Jieli， He Hongwen*. Battery SOC constraint comparison for predictive energy management of plug-in hybrid electric bus. Applied Energy， 2017， 194: 578-87

[18] Liu Wei， He Hongwen*， Sun Fengchun， Lv Jiangyi. Integrated chassis control for a three-axle electric bus with distributed driving motors and active rear steering system. Vehicle System Dynamics. 2017， 55(5): 601-625

[19] He Hongwen， Jia Hui， Sun Chao*， Sun Fengchun. Stochastic Model Predictive Control of Air Conditioning System for Electric Vehicles: Sensitivity Study， Comparison， and Improvement. IEEE Transactions on Industrial Informatics. 2018， 14(9): 4179-89

[20] Li Shuangqi， He Hongwen*， Li Jianwei*.Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology. Applied Energy. 2019， 242: 1259-73

[21] Liu Qingwu， He Hongwen*. The velocity regulation of power consumption with traffic lights for electric vehicles. Proceedings of the Institution of Mechanical Engineers Part D – Journal of Automobile Engineering. 2019， 233(9): 2312-22

[22] Li Yuecheng， He Hongwen*， Peng Jiankun*， Wang Hong. Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information. IEEE Transactions on Vehicular Technology. 2019， 68(8): 7416-30

[23] Peng Jiankun， Luo Jiayi， He Hongwen*， Lu Bing. An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries. Applied Energy， 2019， 253: 113520

[24] Li Yuecheng， He Hongwen*， Khajepour Amir， Wang Hong*， Peng Jiankun. Energy management for a power-split hybrid electric bus via deep reinforcement learning with terrain information. Applied Energy. 2019， 255: 113762

[25] He Hongwen*， Wang Chen， Jia Hui， Cui Xing. An intelligent braking system composed single-pedal and multi-objective optimization neural network braking control strategies for electric vehicle. Applied Energy. 2020， 259: 114172

[26] He Hongwen*， Cao Jianfei， Cui Xing. Energy optimization of electric vehicle's acceleration process based on reinforcement learning. Journal of Cleaner Production， 2020， 248: 119302.

[27] Wei Zhongbao， Zhao Difan， He Hongwen*， Cao Wanke， Dong Guangzhong. A noise-tolerant model parameterization method for lithium-ion battery management system. Applied Energy， 2020， 268: 114932

[28] Wei Dong， He Hongwen*， Cao Jianfei. Hybrid electric vehicle electric motors for optimum energy efficiency: A computationally efficient design. Energy， 2020， 203: 117779.

[29] He Hongwen， Quan Shengwei， Wang Ya-Xiong*. Hydrogen circulation system model predictive control for polymer electrolyte membrane fuel cell-based electric vehicle application. Applied Energy. 2020， 45(39): 20382-390.

[30] He Hongwen， Quan Shengwei， Sun Fengchun， Wang Ya-Xiong*. Model Predictive Control With Lifetime Constraints Based Energy Management Strategy for Proton Exchange Membrane Fuel Cell Hybrid Power Systems. IEEE Transactions on Industrial Electronics. 2020， 67(10): 9012-9023.

[31] Li Menglin， He Hongwen*，Feng Lei. Hierarchical predictive energy management of hybrid electric buses based on driver information. Journal of Cleaner Production， 2020， 269: 122374.

穷苦琢磨名堂：

[1] 国度当然科学基金中国汽车产业立异发展归拢基金重心支捏名堂，U1864202，车用能源电板信息物理和会云系统架构过甚智能科罚，2019.01-2022.12，在研，主捏

[2] 国度重心研发谋略课题子任务，2018YFB0105904，搀和能源系统多场耦合建模和多学科归拢仿真，2018.05-2020.12，在研，主捏

[3] 国度重心研发谋略课题，2017YFB0103802，纯电动大客车能源电板系统环境允洽性重要工夫琢磨，2017.07-2020.12，在研，主捏

[4] 国度当然科学基金面上名堂，51675042，将来工况在线重构花样及在插电式搀和能源汽车中的利用，2017.01-2020.12，在研，主捏

[5] 北京理工大学科技立异谋略立异东说念主才科技资助专项谋略名堂，2017CX01002，新能源车辆能量科罚和系统抑制，2017.01-2019.12，已结题萝莉 在线，主捏

[6] 国度科技守旧谋略名堂子课题，2015BAG01B01-02，双源快充纯电动公交客车用穷苦式DC/DC开辟与能量科罚，2015.07-2017.12，已结题，主捏；

[7] 国度外洋科技配合专项名堂，2015DFE72810，轮毂电天真手系统重要工夫琢磨，2015.04-2017.04， 已结题，投入；

[8] 刀兵科学琢磨院立项名堂，20130341140，轮式大地无东说念主车搀和能源系统研制，2013.09-2015.10，已结题，主捏；

[9] 国度863谋略课题子课题，2011AA111603-02，面向新式营业模式示范城市的电动客车整车工夫保险琢磨，2012.11-2014.12，已结题，主捏；

[10] 教悔部新世纪优秀东说念主才支捏谋略名堂，NECT-11-0785，新能源汽车系统运筹帷幄和详细抑制，2012.01-2014.12，50万元，已结题，主捏；

[11] 国度863谋略课题子课题，2011AA11A290-07，电动汽车电动手系统重要工夫琢磨，2012.01-2014.04，已结题，主捏。