职       称

教授

■博导 ■硕导

公司专业

12BET

Ø机械工程学科(智能网联汽车与电驱动)、

Ø机械类专业学位(车辆工程领域)

办公地址

车辆实验楼515室

邮      编

100081

办公电话

010-68914842、68918879

邮      件

hwhebit@bit.edu.cn

研究方向

纯电驱动车辆动力传动及其控制、燃料电池汽车系统集成及综合控制、车辆网联化智能控制理论与方法

代表性论文及研究项目

代表性论文：

[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.

重要研究项目：

[1] 国家自然科学基金中国汽车产业创新发展联合基金重点支持项目，U1864202，车用动力电池信息物理融合云系统架构及其智能管理，2019.01-2022.12，在研，主持

[2] 国家重点研发计划课题子任务，2018YFB0105904，混合动力系统多场耦合建模和多学科联合仿真，2018.05-2020.12，在研，主持

[3] 国家重点研发计划课题，2017YFB0103802，纯电动大客车动力电池系统环境适应性关键技术研究，2017.07-2020.12，在研，主持

[4] 国家自然科学基金面上项目，51675042，未来工况在线重构方法及在插电式混合动力汽车中的应用，2017.01-2020.12，在研，主持

[5] 12BET科技创新计划创新人才科技资助专项计划项目，2017CX01002，新能源车辆能量管理和系统控制，2017.01-2019.12，已结题，主持

[6] 国家科技支撑计划项目子课题，2015BAG01B01-02，双源快充纯电动公交客车用隔离式DC/DC开发与能量管理，2015.07-2017.12，已结题，主持；

[7] 国家国际科技合作专项项目，2015DFE72810，轮毂电机驱动系统关键技术研究，2015.04-2017.04, 已结题，参加；

[8] 兵器科学研究院立项项目，20130341140，轮式地面无人车混合动力系统研制，2013.09-2015.10，已结题，主持；

[9] 国家863计划课题子课题，2011AA111603-02，面向新型商业模式示范城市的电动客车整车技术保障研究，2012.11-2014.12，已结题，主持；

[10] 教育部新世纪优秀人才支持计划项目，NECT-11-0785，新能源汽车系统设计和综合控制，2012.01-2014.12，50万元，已结题，主持；

[11] 国家863计划课题子课题，2011AA11A290-07，电动汽车电驱动系统关键技术研究，2012.01-2014.04，已结题，主持。

成果及荣誉

奖项：

1. 2015年，节能与新能源客车关键技术研发及产业化，中华人民共和国国务院，国家科学技术进步奖二等奖，第3完成人；

2. 2018年，电动汽车动力电池及系统状态量高精度估计理论与方法，教育部，自然科学奖一等奖，第1完成人；

3. 2018年，新能源汽车整车控制和能量管理关键技术及其系列化产品应用，中国汽车工程学会，中国汽车工业技术发明奖一等奖，第1完成人；

4. 2016年，XXXX机电复合混合动力系统综合控制及关键技术，工业和信息化部，国防技术发明奖二等奖，第1完成人；

5. 2014年，纯电动客车关键技术研发及系列化产品应用，河南省人民政府，河南省科学技术进步奖一等奖，第2完成人；

6. 2013年，混合动力电动客车关键技术研发及系列化产品应用，河南省人民政府，河南省科学技术进步奖一等奖，第2完成人；

7. 2019年，插电式混合动力系统关键技术研发及整车应用，河南省人民政府，河南省科学技术进步奖二等奖，第2完成人；

8. 2018年，基于人才成长规律的本硕博一体化培养探索与实践，教育部，国家级教学成果奖二等奖，第8完成人；

9. 2018年，大系统导向的多学科、校企融合复合型拔尖创新人才培养模式探索与实践，中国学位与研究生教育学会，研究生教育成果奖一等奖，第3完成人

人才计划入选及荣誉：

1. 国家高层次领军人才

2. 科技部 “中青年科技创新领军人才”

3. 教育部 “新世纪优秀人才支持计划”

4. 科睿唯安Web of Science Group，工程领域全球高被引科学家

社会职务

1. 中国汽车工程高级会员。

2. 国际IEEE学会高级会员

3. 中国氢能联盟理事

4. 中国汽车工程学会电动汽车产业技术创新战略联盟(科技部批准) 理事

5. 机械工业出版社，国家出版基金《电动汽车工程手册》编委会专家/委员，混合动力汽车篇主编