基于游戏理论优化,对电动汽车的再生制动控制进行研究
Chunyu Li1, Lu Zhang1,2, Shiqiang Lian1
1Institute of Transportation, Inner Mongolia University, Hohhot, China.
Science progress
|May 7, 2024
概括
本研究介绍了基于游戏理论的电动汽车再生制动控制策略,显著改善了能量回收,制动稳定性和乘客舒适性. 优化的策略提高了电动汽车的制动性能和能源利用率.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 优化理论 优化理论
背景情况:
- 电动汽车 (EV) 提供环保的交通方式,但需要先进的系统来有效管理能源和稳定运行.
- 再生制动对于电动汽车至关重要,它会影响能量回收,制动性能和驾驶舒适度.
- 优化再生制动策略对于最大限度地提高电动汽车效率和用户体验至关重要.
研究的目的:
- 开发和验证使用游戏理论优化的电动汽车新型再生制动控制策略.
- 为了提高制动性能,优化能量回收,提高车辆稳定性和乘客舒适度.
- 解决协调电动汽车能量回收,稳定性和舒适性的挑战.
主要方法:
- 根据带有枢纽电机的电动汽车动态模型,开发了一种再生制动控制策略.
- 游戏理论被用来定义参与者,控制变量,策略集,效益函数和优化再生制动的约束.
- 模拟使用Matlab/Simulink和AVL Cruise进行了验证.
主要成果:
- 拟议的控制策略在NEDC和CLTC-P模拟中实现了速度跟踪误差低于3%.
- 能源回收率高达18.06% (NEDC) 和13.48% (CLTC-P) 超过了现有战略.
- 观察到更好的制动稳定性和乘客舒适性,冲动幅度在±3 m/s3.3以内.
结论:
- 基于游戏理论的优化控制策略有效地提高了电动汽车的能量回收.
- 该策略通过接近理想的附着系数曲线来显著提高制动稳定性.
- 通过在再生制动过程中控制着冲动幅度来提高乘客舒适度.
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