一种纯电动汽车自学习型控制策略  

A Self-learning Control Strategy for Pure Electric Vehicles

作　　者：赵爽 苏松林 吴傲雪 ZHAO Shuang;SU Songlin;WU Aoxue(Technical Center,Anhui Jianghuai Automobile Group Company Limited,Hefei 230041,China)

机构地区：[1]安徽江淮汽车集团股份有限公司技术中心,安徽合肥230041

出　　处：《汽车实用技术》2023年第6期22-26,共5页Automobile Applied Technology

摘　　要：电池是电动汽车的动力来源,然而随着使用时间的增长,其固有特性(如容量等)会发生变化,仪表上显示相关信息也会出现误差,给用户带来困扰。文章提出一种自学习型策略来修正因为电池固有属性的衰减而产生的信息显示误差。手机及互联网企业可以通过对用户使用习惯的大数据进行分析,从而为用户推送他们意向的内容,提升了用户体验。相较于传统的非网联汽车,智能汽车也可通过汽车整车控制器(VCU)存储用户用车数据并自主分析及在线升级(OTA)修正因子等方法,对充电时间和可用剩余功率显示进行误差修正以及对驾驶员行为进行打分,实现车辆自主学习的策略。目前应用此策略量产车型已达2万台,市场反应良好,极大地提高了用户体验。Absrtact:The battery is the power source of electric vehicles.However,with the increase of service time,its inherent characteristics(such as capacity)will change,and the relevant information displayed on the instrument will also have errors,which will bring confusion to users.Therefore,this paper proposes a self-learning strategy to correct the information display error caused by the attenuation of the inherent properties of the battery.Mobile phones and internet enterprises can analyze the big data used by users,so as to push their intended content for users and improve the user experience.Compared with traditional non-network connected vehicles,intelligent vehicles can also use vehicle control unit(VCU) to store user vehicle data,conduct independent analysis and over the air(OTA) upgrade correction factors to correct the error of charging time and available residual power display,and score the driver’s behavior,so as to achieve the strategy of vehicle independent learning.At present,this strategy has been applied to mass production of 20 000 vehicles,and the market response is good.It greatly improves the user experience.

关 键 词：纯电动汽车 自学习型 整车控制器 组合仪表 车载信息娱乐系统 

分 类 号：U491.7[交通运输工程—交通运输规划与管理]