李军求
作者: Chen,Peiyu1;Mao,Zhaoyong12;Lu,Chengyi2;Li,Bo2;Ding,Wenjun1;Li,Junqiu3; (1Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, 710072, China;2School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China;3National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China)
出处: Journal of Power Sources 2024 Vol.595
摘要: Effective capacity early estimation is one of the critical tasks for electric autonomous underwater vehicles (AUV) to guide energy allocation and ensu ...
发明人: 李军求,刘正楠,刘子鸣,柴志雄,张小鹏
申请人: 北京理工大学
申请号: 202310341458.2
申请日期: 2023.03.31
摘要: 本发明提供了一种电池组内短路检测方法,其避免了现有技术中复杂的建模与SOC估计过程,仅需对电池直流内阻参数进行辨识,流程复杂度低且计算量小,即使对于OCV‑SOC关系曲线较平坦的磷酸铁锂电池同样能够提供良好好的适用性,应用范围得以大大扩展。该方法在内短路检测过程中没有使用温升数据,从而摆脱了传感器规 ...
作者: 薛撬1;,李军求1;,肖焱升1;,赵宇2;,刘宇2;,韩冬雪2; (1北京理工大学,电动车辆国家工程研究中心;2宁德时代新能源科技股份有限公司)
出处: 汽车工程 2023 第45卷 第11期 P2014-2022
关键词: 电动车;低温续航;加热策略;目标温度优化
摘要: 为提升电动车在低温环境下的续航里程,提出基于加热目标温度优化的电池组预加热策略,充分提高电池在低温环境下的能量效率,满足目标行驶里程的需求。首先通过实验测试确定不同温度下电池的最大放电能量;其次基于不同温度下电池的能量保持率和考虑温度对电池寿命的影响,建立非线性多目标约束方程并求解,得到不同环境温度 ...
作者: Qiao Xue;Junqiu Li;Yansheng Xiao;Zhixiong Chai;Ziming Liu;Jianwen Chen (1Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China;2Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China;3JIANGLU Machinery & Electronics Group Co., Ltd, Xiangtan, 411199, China)
出处: Journal of Cleaner Production 2023 Vol.397 P136575
关键词: PROCESS REGRESSION-MODEL;OF-HEALTH ESTIMATION;MANAGEMENT-SYSTEM;STATE;PREDICTION
摘要: Machine learning-based methods have shown great application prospects on the capacity estimation of lithium-ion battery. However, most of extant appro ...
作者: Zhichao Li;Junqiu Li;Weichen Wang (1National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
出处: IEEE Transactions on Vehicular Technology 2023 Vol.72 No.4 P4342-4356
关键词: Vehicle dynamics;Collision avoidance;Path planning;Splines (mathematics);Safety;Predictive models;Optimization
摘要: Obstacle avoidance problem for the autonomous vehicle has received more and more attention these years, especially for the autonomous heavy vehicle, w ...
作者: Xu, Shiwei1;Li, Junqiu1;Zhang, Xiaopeng1;Song, Jian1;Zeng, Xinyu1 (1Beijing Institute of Technology; Xi'an University of Architecture & Technology)
出处: IEEE ACCESS 2023 Vol.11 P110151-110163
关键词: REGENERATIVE BRAKING
摘要: Four-wheel-drive system with multiple motors has been one of the important development trends of electric vehicles, which has an important impact on t ...
作者: Wang, Weichen1;Li, Junqiu1;Li, Xiaohan1;Li, Zhichao1;Guo, Ningyuan2 (1Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China.;2Foshan Univ, Sch Mechatron Engn & Automat, Foshan 528225, Peoples R China.)
出处: APPLIED SCIENCES-BASEL 2023 Vol.13 No.13
关键词: SHARED CONTROL; PHASE PLANE; DRIVER; AUTOMATION
摘要: For human-machine collaborative driving conditions, a hierarchical chassis multi-objective cooperative control method is proposed in this paper. First ...
作者: Xue, Qiao1; Li, Junqiu1; Xiao, Yansheng1; Zhao, Yu2; Liu, Yu2; Han, Dongxue2 (1Beijing Institute of Technology, National Engineering Research Center of Electric Vehicles, Beijing; 100081, China;2Contemporary Amperex Technology Co., Limited, Ningde; 352100, China)
出处: Qiche Gongcheng/Automotive Engineering 2023 Vol.45 No.11 P2014-2022
作者: Zhichao Li1;Junqiu Li1;Ying Li1; (1Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
出处: IEEE Transactions on Vehicular Technology 2023 P1-15
关键词: Planning;Autonomous vehicles;Safety;Stability analysis;Splines (mathematics);Collision avoidance;Roads
摘要: The autonomous path planning for obstacle avoidance has garnered great interest of numerous researchers recently. In this field, the multi-obstacle is ...
作者: Chen, Peiyu1; Mao, Zhaoyong1; Wang, Chiyu1; Lu, Chengyi2; Li, Junqiu3 (1Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an; 710072, China;2School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an; 710072, China;3National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing; 100081, China)
出处: Journal of Energy Storage 2023