作者： Xu, Jiahui¹; Shao, Wenbo²; Xu, Yanchao¹; Wang, Weida¹; Li, Jun²; Wang, Hong²

出处： 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 Bilbao, Spain 2023

会议录： 5416-5422

作者： 黄华¹;，高艺鹏^1,2;，王伟达^1,2;，杨超^1,2; （¹北京理工大学机械与车辆学院；²北京理工大学重庆创新中心）

出处： 北京理工大学学报 2023 第43卷 第8期 P773-782

关键词： 智能无人车辆；线控转向（SBW）；路径跟踪；滑模趋近律；滑模控制（SMC）

摘要： 路径跟踪是智能无人车辆的关键技术之一，其中，对线控转向系统的精确控制是影响智能无人车辆路径跟踪精度的重要因素.为提升线控转向系统在未知扰动下的转角动态响应性能和路径跟踪精度，本文基于一种新型趋近律设计了改进滑模控制方法并应用于线控转向系统.首先，考虑模型不确定、系统摩擦和齿条力建立线控转向系统数学模 ...

作者： 彭浩楠¹;，唐明环¹;，查奇文¹;，王聪¹;，王伟达²; （¹中国工业互联网研究院；²北京理工大学机械与车辆学院）

出处： 北京理工大学学报 2023 第43卷 第8期 P820-831

关键词： 智能网联汽车；逆强化学习；轨迹规划；最大熵原则

摘要： 针对当前轨迹规划策略存在实时性差、优化目标权重系数难以标定、模仿学习方法可解释性差等问题，提出了基于最大熵原则的逆强化学习方法，通过学习经验驾驶员驾驶轨迹的内在优化机制，从而规划出符合人类驾驶经验的整体最优的换道专家轨迹，为解决轨迹规划方法的实时性问题和可解释性问题奠定了理论基础.以一般风险场景和高 ...

作者： Shao, Wenbo¹;Xu, Yanchao²;Li, Jun¹;Lv, Chen³;Wang, Weida²;Wang, Hong¹ （¹Tsinghua Univ, Sch Vehicle & Mobil, Tsinghua Intelligent Vehicle Design & Safety Res I, Beijing 100084, Peoples R China.;²Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China.;³Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore.）

出处： IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2023

摘要： Accurate trajectory prediction is essential for safe and efficient autonomous driving in complex traffic environments. While artificial intelligence h ...

作者： Yang, Chao^1,2;Lu, Zhexi^1,2;Wang, Weida^1,2;Wang, Muyao¹;Zhao, Jing^1,2 （¹Beijing Inst Technol, Sch Mech Engn, Beijing 100084, Peoples R China.;²Beijing Inst Technol, Chongqing Innovat Ctr, Chongqing 401122, Peoples R China.）

出处： ENERGY 2023 Vol.280

关键词： CONSUMPTION

摘要： Hybrid electric flying cars hold clear potential to support high mobility and environmentally friendly trans-portation. For hybrid electric flying car ...

作者： Fang, Yanfeng¹;Wang, Weida¹;Yang, Chao¹;Zhang, Yuhang¹;Chen, Zhentao² （¹Beijing Inst Technol, Sch Mech Engn, Teaching Bldg 9,317, Beijing 100084, Peoples R China.;²Tsinghua Univ, Sch Vehicles & Mobil, Beijing, Peoples R China.）

出处： PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING 2023

关键词： FAULT-TREE ANALYSIS; SYSTEM

摘要： The brake-by-wire (BBW) system is one of the safety-critical components of intelligent vehicle chassis, and ensuring its reliability requires a compre ...

作者： Yang, Chao¹; Du, Xuelong¹; Wang, Weida¹; Yang, Liuquan¹; Zha, Mingjun¹ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Vehicular Technology 2023 P1-13

作者： Peng,Haonan¹;Tang,Minghuan¹;Zha,Qiwen¹;Wang,Cong¹;Wang,Weida²; （¹China Academy of Industrial Internet, Beijing, 100102, China;²School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China）

出处： Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2023 Vol.43 No.8 P820-831

摘要： Trajectory planning is one of the most significant technologies of autonomous connected vehicles. However, there are some problems in existing traject ...

作者： Huang,Hua¹;Gao,Yipeng¹²;Wang,Weida¹²;Yang,Chao¹²; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, 401120, China）

出处： Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2023 Vol.43 No.8 P773-782

摘要： Path tracking is one of key technologies for intelligent unmanned vehicles, in which the precise control of steer-by-wire (SBW) system is an important ...

作者： Muyao Wang¹;Chao Yang^1,2;Weida Wang^1,2;CA1;Ruihu Chen¹;Liuquan Yang¹;Jie Su³; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;²Chongqing Innovation Center, Beijing Institute of Technology, Chongqing 401122, China;³China North Vehicle Research Institute, Beijing 100080, China）

出处： Control Engineering Practice 2023 Vol.141 P105713

摘要： This study proposes a short-term prediction-based power control strategy using the modified iteration sequential clustering quadratic programming (MIS ...