【概况】

【教育背景】

2007.03-2010.12，天津大学，动力工程及工程热物理，博士， 2004.09-2007.03，天津大学，动力机械及工程，硕士 2000.09-2004.07，天津大学，热能与动力工程，学士

【学术经历】

2018.12-至今，天津大学，机械工程学院，副研究员 2014.06-2018.12，天津大学，机械工程学院，讲师 2011.02-2014.06，天津大学，机械工程学院，博士后

【讲授课程】

专业基础课《热能与动力工程基础》 校选通识课《智能车辆与现代动力》

【教学成果】

2022年，获国家级教学成果奖 二等奖-“智能化时代能源动力专业多元教学场景构建与实践” 2020年，获天津市科学技术奖 技术发明奖 一等奖-“内燃机动态过程智能控制方法与应用” 2018年，获中国机械工业科学技术奖 技术发明奖 一等奖-“内燃机主动抗扰智能控制关键技术与应用”

【研究方向】

1、交通智能体跨尺度数字平行技术 2、基于模型的数据分析与大数据建模 3、高效发动机、燃料电池、混合动力和电动系统智能控制 4、低空经济与航空器动力系统

【学术兼职】

1. 北美华人发动机工程师协会中国理事 2. Applied Energy，Energy and AI等国际刊物特约审稿人 3. SAE（国际汽车工程师学会）、IFAC（国际自动控制联合会车辆控制分会）、International Electric Vehicle Symposium & Exhibition（世界电动汽车大会）等国际会议特约审稿人

【科研项目及成果】

1、国家重点研发计划政府间合作项目-云车协同框架下燃料电池智能客车中AI强化数据分析与自适应优化关键技术研究（项目级），主持，2024-2027 2、国家创新项目-长航时无人航空器“内燃-电动”混合动力系统能量管理与控制优化方法研究（项目级），主持，2022-2025 3、天津市科技重大专项与工程项目课题-深度机电耦合高效轻卡专用混合动力系统关键技术开发（课题级），主持，2024-2025 4、广西省重点研发计划项目课题-智能充电系统整机性能开发匹配仿真试验（课题级），主持，2024-2027 5、校企合作-排放控制及后处理仿真，主持，2024-2025 6、校企合作-多场景柴油机自适应控制技术，主持，2023-2024 7、校企合作-商用车扭矩预控制技术开发和应用，主持，2022-2024 8、校企合作-无人机起降感知传感器性能仿真及测试，2022-2023 9、校企合作-XLU项目发动机健康诊断AI算法所需数据采集&发动机分缸不均匀性及旋转件健康诊断功能开发，主持，2021-2023

【代表性论著】

1.Yifang Feng, Tao Chen, Yue Li, Yonghan Gao, Guoli Zhang, Guowei Cao. Short-Term Vehicle Speed Prediction Based on Spatio-Temporal Traffic Graph Networks, 2025.03, IEEE ACCESS, 已录用. 2.Feng, Y., Chen, T., Liu, Q., et al. Adapted Speed Control of Two-Stroke Engine with Propeller for Small UAVs Based on Scavenging Measurement and Modeling. Aerospace 2025, 12, 202. 3.Zhuoxiao Yao, Tao Chen, Weipeng Lin, Yifang Feng, Zengchun Wei. Comparative analysis of time series neural network methods for three-way catalyst modeling, Energy and AI, Volume 17, 2024. 4.Feng, Yifang, Tao Chen et al. “Chemical Effect of DME on the Combustion and Heat Release of SI-CAI Hybrid Combustion Based on Micro Flame Ignition Strategy.” Combustion Science and Technology (2023). 5.Chen D, Chen T, Feng Y. Comprehensive CO2 emissions analysis and optimization of plug-in hybrid electric vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2024;238(7):2039-2054. 6.Zhuoxiao Yao, Tao Chen, Weipeng Lin, Yifang Feng, Ran Xia, Le Li, Tao Song, Oxygen storage modeling of a three-way catalyst based on a NARX network, Catalysis Science & Technology, Volume 13, Issue 10, 2023, Pages 3125-3138. 7.Feng Y, Chen T, Xu K, et al. The comparison between traditional spark ignition and micro flame ignition in gasoline high dilution combustion. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2021;235(8):2242-2252. 8.Chen T, Wang X, et al. Control and optimization of spark ignition–controlled auto-ignition hybrid combustion based on stratified flame ignition. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2019;233(12):3057-3073. 9.Chen, Y., Chen, T., Feng, Y., et al. H Radical Sensitivity-Assisted Automatic Chemical Kinetic Model Reduction for Laminar Flame Chemistry Retaining: A Case Study of Gasoline-DME Mixture under Engine Conditions. Energy and Fuels, 33(4), 3551-3556. 10.Junhu Liu, Tang Qin, Daxin Chen, Gaoxiang Wang, Tao Chen, Driving power prediction of heavy commercial vehicles based on multi-task learning, IFAC-PapersOnLine, Volume 58, Issue 29, 2024, Pages 397-402. 11.C. Sun, T. Chen, J. Zhang, D. Chen, Z. Liu and L. Chen, "Development and Verification of Predictive Shift Strategy Based on Working Condition Zone Directed Graph," 2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI), Chongqing, China, 2024, pp. 1-6. 12.Zhang G , Fan H , Chen T, et al. Analysis of the Relationship Between Driver Emotions and Driving Behavior in Intersection Scenarios[C]//2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). 13.Liu Z , Chen T , Zhou P ,et al. Modeling and Control Strategy Research on Diesel Engine HighPressure Common Rail System[C]//2024 43rd Chinese Control Conference (CCC).[2025-03-04]. 14.Li Y , Chen T , Zhang Z ,et al. A Spatiotemporal Graph Convolutional Network for Vehicle Speed Prediction[C]//2024 43rd Chinese Control Conference (CCC).0[2025-03-04]. 15.Wei, Z., Yao, Z., Su, Q., Lian, X. et al., "A Deviation-Based Centroid Displacement Method for Combustion Parameters Acquisition," SAE Technical Paper 2024-01-2839, 2024. 16.Gao Y, Chen D , Zhang J ,et al. A Method of Vehicle Interactive Information Drive Speed Prediction Based on Temporal Dynamic Graph Convolutional Neural Network[J].IFAC PapersOnLine, 2023, 56(2):2786-2791. 17.林伟鹏,陈韬,丁锋,等.用于控制的三元催化转换器储氧量观测模型开发[J].内燃机学报, 2023, 41(4):342-350. 18.Q. Liu, Y. Feng, T. Qin and T. Chen, "Adaptive Speed Control of UAV Engine at High Altitude Based on Mode," 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), Nanjing, China, 2022, pp. 1-6. 19.Y. Jin, T. Chen, D. Chen and Y. Gao, "A Predictive PHEV Energy Management Strategy Based on GRU and Enhanced Dynamic Programming," 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), Nanjing, China, 2022, pp. 1-6. 20.Xiangcheng Li, Weipeng Lin, Yuanyang Jin, Daxin Chen, Tao chen, Dynamic Energy Management Strategy of Hybrid Electric Vehicles based on Velocity Prediction, IFAC-PapersOnLine, Volume 54, Issue 10, 2021, Pages 363-369.