对于分布式驱动电动卡车的Yaw稳定控制策略的研究
Feng Gao1, Fengkui Zhao1, Yong Zhang1
1College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
这项研究提出了一种新的分层控制策略,用于电动卡车的曲折稳定性,优化扭矩分布,提高安全性和减少轮胎磨损. 新方法在关键机动时显著提高了车辆的稳定性.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 车辆动力学 车辆动力学
背景情况:
- 配有分布式驱动系统的重型电动卡车在保持转稳定性方面面临着挑战.
- 现有的控制策略往往难以平衡稳定性增强与最佳轮胎利用.
研究的目的:
- 开发和验证一个分层的控制策略,以改善分布式驱动电动卡车的曲折稳定性.
- 使用混合优化算法优化转时刻控制器,并增强扭矩分布,以更好地控制车辆.
主要方法:
- 设计了一种分层的控制策略,上面使用线性二次调节器 (LQR) 的上层被基因算法和粒子群优化 (GA-PSO) 优化.
- 下层采用二进制编程来实现最佳的扭矩分布,最大限度地减少轮胎的使用.
- 在蛇形和双车道变动条件下,在Matlab/Simulink Trucksim上进行了模拟,将拟议的策略与SMC,LQR和无控制对比.
主要成果:
- 与其他方法相比,拟议的战略减少了高达42.15%的平均斜率和高达52.3%的平均侧滑角度.
- 优化的扭矩分配将平均轮胎利用率降低了42.6%,从而提高了稳定性控制率.
- 在各种工作条件下,驾驶稳定性得到显著改善.
结论:
- 开发的分层控制策略有效地提高了分布式驱动电动卡车的转向稳定性.
- 混合动力优化和优化的扭矩分布有助于提高车辆的安全性和效率.
- 这些发现证实了拟议的方法在电动重型车辆中的实际应用.
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