首页|基于路面识别算法的分布式驱动汽车驱动防滑控制策略

基于路面识别算法的分布式驱动汽车驱动防滑控制策略

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针对在低附着系数路面上由于分布式驱动汽车质量变化及道路坡度影响造成驱动防滑控制效果差的问题,提出了一种基于路面识别算法和滑模控制的驱动防滑控制策略.通过递归最小二乘法估计整车质量和道路坡度,修正车轮垂直载荷,根据附着系数和滑转率的关系设计路面识别策略,获取最优滑转率作为控制目标,采用滑模控制算法实现对滑转率的快速跟踪.通过Carsim和Simulink联合仿真和实车试验,与传统的PI控制策略进行对比,仿真结果表明本文提出的策略滑转率误差RMSE 值降低 75.1%,实车试验验证本文中提出的控制算法在整车滑转率控制上具有优势.
Research on acceleration slip regulation strategy based on road surface recognition algorithm
This paper proposes an Acceleration Slip Regulation(ASR)control strategy based on road surface identification algorithm and sliding mode control for distributed drive vehicles on low adhesion coefficient road surfaces,where the ASR control performance is affected by the vehicle mass variation and road slope.Firstly,the vehicle mass and road slope are estimated by recursive least squares method,and the wheel vertical load is corrected.Then,according to the relationship between adhesion coefficient and slip ratio,a road surface identification strategy is designed to obtain the optimal slip ratio as the control target.A sliding mode control algorithm is adopted to achieve fast tracking of the slip ratio.Finally,Carsim and Simulink co-simulation and real vehicle tests are conducted to compare it with the traditional PI control strategy.Our simulation results show the proposed strategy reduces the RMSE value of slip ratio error by 75.1%,but the real vehicle RMSE is larger.The vehicle test demonstrates the control algorithm proposed in this paper performs better in vehicle slip rate control.

distributed driveelectric vehicleroad surface recognitionASRsliding mode control

常九健、吴佳豪、方建平

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合肥工业大学 汽车工程技术研究院,合肥 230000

合肥工业大学 汽车与交通工程学院,合肥 230000

分布式驱动 电动汽车 路面识别 驱动防滑控制 滑模控制

安徽省发改委重大专项

HFUT-DX-2019-023/ZB201904213

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(3)
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