合作者关系

[中文专利] 一种新能源汽车电池安全性能评价方法

发明人：张照生，周立涛，姜良维，王震坡，刘鹏，吴益忠，王硕，张晖，赵岩

申请日期：2022.07.08

摘要：本发明提供了一种新能源汽车电池安全性能评价方法，全面考虑了电压极差、温度上升速率、温度不一致性、充电开始与结束时离群单体占比、自放电率等多个影响动力电池安全性能的维度，充分利用了新能源汽车的海量实车大数据，对单车的运行数据实时地评价其安全性能。通过计算各维度指标的马氏距离，能够突破不同物理参数量纲及 ...

[中文专利] 一种基于粒子滤波的多工况路面附着系数估计方法及系统

发明人：张雷，王震坡，郭鹏宇

申请日期：2022.09.01

摘要：本发明涉及一种基于粒子滤波的多工况路面附着系数估计方法及系统，属于路面附着系数估计技术领域。所述方法包括：基于新型传感器布置系统获取车辆运行数据；基于车辆纵向动力学模型，根据所述车辆运行数据使用粒子滤波方法估计纵向工况路面附着系数；基于车辆横向动力学模型，根据所述车辆运行数据使用粒子滤波方法估计横向 ...

[中文专利] 一种新能源汽车动力电池多维模型融合的故障诊断策略

发明人：张翔，张泽坤，王震坡，林倪，张照生，韩冰

申请日期：2022.08.09

摘要：本发明提供了一种新能源汽车动力电池多维模型融合的故障诊断策略，充分利用了新能源汽车实车大数据，并全面考虑了不同地域、季节、工况、里程等多种因素，通过融合模型与分类分析实现特征参数标准值的准确提取，从而可确定出有利于训练神经网络的多个关键特征。通过神经网络与逻辑回归函数耦合搭建和训练，可以实现对实际运 ...

[中文专利] 基于柯氏复杂度的电池风险预警方法

发明人：林倪，黄胜旭，王震坡，张照生，张景涵

申请日期：2022.07.26

摘要：本发明提供了基于柯氏复杂度的电池风险预警方法，其利用单体柯氏复杂度的计算能够充分反映动力电池组内单体之间的混乱程度，无论电池参数是否存在异常，均能对潜在的安全风险实现判断，有效克服了现有技术在此情况下风险预警效果不良的缺点。相对于基于人工智能算法的风险预警方式，该方法无须执行繁重的数据收集与模型训练 ...

[中文专利] 基于云边协同的汽车故障诊断方法、系统及智能汽车

发明人：王震坡，刘鹏，贺劲松，刘慧斌，徐偲，李和平，岳楷岚

申请日期：2022.08.11

摘要：本发明提供一种基于云边协同的车辆故障诊断方法、系统及智能汽车，针对传统故障诊断方式存在诊断预警精度低、查全率低及资源耗费大的问题，该车辆故障诊断方法通过获取相关车辆关于电力驱动模块的历史状态参数，结合数据预处理和深度学习技术，设计全新架构的长短时记忆堆叠自编码神经网络，以对车辆故障诊断模型开展建模， ...

[外文专利] ELECTRIC AUTOMOBILE ENERGY CONSUMPTION PREDICTION METHOD AND SYSTEM

发明人：WANG, Zhenpo;LIU, Peng;ZHANG, Jin;ZHANG, Zhaosheng

申请日期：2021.06.04

摘要：An electric automobile energy consumption prediction method and system relating to the field of automobiles. The method comprises: acquiring historica ...

[外文专利] VEHICLE SIDESLIP ANGLE ESTIMATION METHOD AND SYSTEM BASED ON EVENT TRIGGER STATE ESTIMATION

发明人：ZHANG, Lei;WANG, Zhenpo;DING, Xiaolin

申请日期：2021.06.01

摘要：A vehicle sideslip angle estimation method and system based on event trigger state estimation. The method comprises: carrying out iteration by taking ...

[中文期刊] Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles CA CSCD 剑桥核源

作者：Wang Cong，Wang Zhenpo，Zhang Lei，Yu Huilong，Cao Dongpu （Beijing Institute of Technology， National Engineering Research Center for Electric Vehicles， Beijing， 100081;School of Mechanical Engineering， Beijing Institute of Technology， Beijing， 100081;School of Vehicle and Mobility，Tsinghua University， Beijing， 100080）

出处：Chinese Journal of Mechanical Engineering 2022

关键词：Active safety；Post-impact control；Motion planning；Vehicle dynamics control

摘要：There is an increasing awareness of the need to reduce traffic accidents and fatality due to vehicle collision. Post-impact hazards can be more seriou ...

[外文期刊] State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles Based on Regional Capacity and LGBM SCIE SCIE

作者：Zhaosheng Zhang;Shuo Wang;Ni Lin;Zhenpo Wang;Peng Liu （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China）

出处：Sustainability 2023

关键词：electric vehicles (EVs);lithium-ion battery;state of health (SOH);regional capacity;light gradient boosting machine (LGBM);real-world data

摘要：Battery state of health (SOH) estimation is a prerequisite for battery health management and is vital for second-life utilization. Existing techniques ...

[外文期刊] Battery Safety Risk Assessment in Real-World Electric Vehicles Based on Abnormal Internal Resistance Using Proposed Robust Estimation Method and Hybrid Neural Networks SCIE EI

作者：Da Li;Junjun Deng;Zhaosheng Zhang;Zhenpo Wang;Litao Zhou;Peng Liu （¹Collaborative Innovation Center for Electric Vehicles, Beijing, and National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing, China）

出处：IEEE Transactions on Power Electronics 2023

关键词：Batteries;Safety;Voltage;Neural networks;Estimation;Risk management;Heating systems

摘要：Battery safety issue is developing as one of the main hinders restricting the further application of real-world electric vehicles (EVs). Internal resi ...