职       称

教授

■博导 ■硕导

学院专业

英国威廉希尔唯一官网

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] 英国威廉希尔唯一官网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