代表性论文：163性爱网
[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
成人游戏在线玩[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 Energy163性爱网， 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.
垂死参谋样式：
[1] 国度当然科学基金中国汽车产业鼎新发展联接基金要点支握样式，U1864202，车用能源电板信息物理交融云系统架构过甚智能措置，2019.01-2022.12，在研，主握
[2] 国度要点研发操办课题子任务，2018YFB0105904，羼杂能源系统多场耦合建模和多学科联接仿真，2018.05-2020.12，在研，主握
[3] 国度要点研发操办课题，2017YFB0103802，纯电动大客车能源电板系统环境符合性要害技能参谋，2017.07-2020.12，在研，主握
[4] 国度当然科学基金面上样式，51675042，将来工况在线重构时势及在插电式羼杂能源汽车中的诳骗，2017.01-2020.12，在研，主握
[5] 北京理工大学科技鼎新操办鼎新东谈主才科技资助专项操办样式，2017CX01002，新能源车辆能量措置和系统死心，2017.01-2019.12，已结题，主握
[6] 国度科技支握操办样式子课题，2015BAG01B01-02，双源快充纯电动公交客车用闭幕式DC/DC设置与能量措置，2015.07-2017.12，已结题，主握；
[7] 国度海外科技诱骗专项样式，2015DFE72810，轮毂电机启动系统要害技能参谋，2015.04-2017.04， 已结题，插足；
[8] 武器科学参谋院立项样式，20130341140，轮式大地无东谈主车羼杂能源系统研制，2013.09-2015.10，已结题，主握；
[9] 国度863操办课题子课题，2011AA111603-02，面向新式生意模式示范城市的电动客车整车技能保险参谋，2012.11-2014.12，已结题，主握；
[10] 磨真金不怕火部新世纪优秀东谈主才支握操办样式，NECT-11-0785，新能源汽车系统假想和笼统死心，2012.01-2014.12，50万元，已结题，主握；
[11] 国度863操办课题子课题163性爱网，2011AA11A290-07，电动汽车电启动系统要害技能参谋，2012.01-2014.04，已结题，主握。