作者： Qie, Tianqi^1,2;Wang, Weida^1,2;Yang, Chao^1,2;Li, Ying^1,2;Zhang, Yuhang^1,2;Liu, Wenjie^1,2;Xiang, Changle^1,2; （¹ Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China. ;² Beijing Inst Technol, Sch Mech Engn, Beijing 401120, Peoples R China.）

出处： IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2022

关键词： AVOIDANCE; FRAMEWORK; NETWORK; DRIVER; SAFE; MPC

摘要： For automated driving vehicles, trajectory planning is responsible for obtaining feasible trajectories with velocity profiles according to driving env ...

作者： Gao, Pu^{1, 2, 3}; Xiang, Changle^{1, 2}; Liu, Hui^{1, 2} （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²Beijing Institute of Technology Advanced Technology Research Institute (Jinan), Shandong, Jinan; 250307, China;³Chongqing Innovation Center, Beijing Institute of Technology, Chongqing; 401147, China）

出处： Binggong Xuebao/Acta Armamentarii 2022 Vol.43 No.10 P2443-2450

作者： Wang, Weida¹;Zhang, Yuanbo¹;Chen, Ke³;Zhang, Hua²;Wang, Xiantao¹;Yang, Chao¹;Xiang, Changle¹; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;²Inner Mongolia Firmaco Hongyuan Electric, Appliances Co., Ltd, Baotou, China;³Inner Mongolia First Machinery Group Co, Ltd, Baotou, China）

出处： Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2022 Vol.236 No.7 P1414-1428

摘要： Autonomous logistics vehicles are characterised by large changes in mass and their performances are greatly influenced by slope. In addition, sensors ...

作者： Wang, Weida¹;Zhao, Jing¹;Yang, Chao¹;Qie, Tianqi¹;Li, Ying¹;Huang, Kun¹;Xiang, Changle¹; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Vehicular Technology 2022 P1-16

摘要： To obtain an optimal feasible path, this paper presents a path planning learning strategy for a wheel-legged vehicle considering both distance and ene ...

发明人： 郭凌雄，项昌乐，刘辉，韩立金

申请人： 北京理工大学

申请号： 202211146552.4

申请日期： 2022.09.20

摘要： 本发明属于混动车辆能量管理技术领域，公开了一种混动车辆能量管理及协同控制方法、系统及应用。多模混动车辆能量管理及协同控制方法包括：利用最优控制参考规划器，进行多模混动车辆能量管理中模式切换的实时规划；将由插值所获取的最优控制量相邻网格值作为对应优化的上下限约束，并将此最优控制量作为SQP算法的初始解 ...

作者： Guo,Lingxiong¹²;Zhang,Xudong¹;Zou,Yuan¹;Han,Lijin²³;Du,Guodong¹;Guo,Ningyuan¹;Xiang,Changle²³; （¹National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, 100081, China;²National Key Lab of Vehicular Transmission, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;³Advanced Technology Research Institute (Jinan), Beijing Institute of Technology, Jinan, 250000, China）

出处： Energy 2022 Vol.246

摘要： Combining eco-driving optimization and simultaneous proper energy management, this paper proposes an efficient co-optimization strategy of unmanned hy ...

作者： Bo, Lin^1,2;Han, Lijin^1,2,3;Xiang, Changle^1,2;Liu, Hui^1,2,3;Ma, Tian⁴; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;²National Key Laboratory of Vehicular Transmission, Beijing, China;³Advanced Technology Research Institute (Jinan), Beijing Institute of Technology, Jinan, China;⁴China North Vehicle Research Institute, Beijing, China）

出处： Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2022

关键词： NETWORK;SYSTEM

摘要： To improve the power performance and fuel economy and reduce the online computation time of hybrid electric vehicles (HEVs) in off-road driving enviro ...

作者： Yang, Ningkang¹; Han, Lijin^{1, 2}; Ruan, Shumin¹; Liu, Hui^{1, 2}; Guo, Lingxiong¹; Xiang, Changle¹ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²Advanced Technology Research Institute (Jinan), Beijing Institute of Technology, Jinan; 250307, China）

出处： SSRN 2022

作者： Bo, Lin^{1, 2}; Han, Lijin^{1, 2, 3}; Xiang, Changle^{1, 2}; Liu, Hui^{1, 2, 3}; Ma, Tian⁴ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²National Key Laboratory of Vehicular Transmission, Beijing; 100081, China;³Advanced Technology Research Institute (Jinan), Beijing Institute of Technology, Jinan; 250307, China;⁴China North Vehicle Research Institute, Beijing; 100072, China）

出处： Energy 2022

作者： Liu, Hui¹; Liu, Cong¹; Han, Lijin¹; Xiang, Changle¹ （¹Beijing Institute of Technology, National Key Laboratory of Vehicular Transmission, School of Mechanical Engineering, Beijing; 100081, China）

出处： IEEE Transactions on Intelligent Transportation Systems 2022 Vol.23 No.12 P23148-23163