基于卡尔曼滤波车速估算的电动汽车换挡策略  

Gearshift Strategy for Electric Vehicles Based on Kalman Filter Vehicle Speed Estimation

作　　者：陈鹏辉 茹强 汶渭栋 CHEN Penghui;RU Qiang;WEN Weidong(BYD Co.,Ltd.,Xi'an 710000,China)

机构地区：[1]比亚迪汽车有限公司,陕西西安710000

出　　处：《汽车电器》2024年第8期15-17,20,共4页Auto Electric Parts

摘　　要：电动汽车因车速估算误差导致出现换挡失败、换挡顿挫等问题,为了解决此类换挡问题,提出制定更为精确的换挡策略。基于卡尔曼滤波原理,文章首先制定车速估算算法,利用车辆三轴加速度计来计算加速度积分,从而计算车速预测值,同时通过测量轮速来进行反馈修正,得到最优估计下的后验车速;其次,利用车速制定双参数换挡策略;最后通过联合仿真测试来进行验证。Due to speed estimation errors,electric vehicles encounter problems such as shifting failure and jerking.In order to solve these shifting problems,it is proposed to develop more accurate shifting strategies.Based on the principle of Kalman filtering,the article first develops a vehicle speed estimation algorithm,using a vehicle three-axis accelerometer to calculate the acceleration integral,thereby calculating the predicted vehicle speed.At the same time,feedback correction is carried out by measuring the wheel speed to obtain the posterior vehicle speed under the optimal estimation;Secondly,use vehicle speed to develop a dual parameter shifting strategy;Finally,verification will be conducted through joint simulation testing.

关 键 词：车速估算 卡尔曼滤波 换挡规律 

分 类 号：U469.72[机械工程—车辆工程]