电动赛车的扭矩控制策略基于加速意图识别
Anlu Yuan1, Tieyi Zhang1, Lingcong Xiong1
1School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
Mathematical biosciences and engineering : MBE
|March 8, 2024
概括
本研究介绍了通过识别驾驶员加速意图,为电动赛车引入先进的扭矩控制策略. 这种方法显著提高了汽车的动力性能,特别是在加速过程中. 关键词:电动赛车,扭矩控制,加速意图,功率表现.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 电动赛车中的线性扭矩控制策略往往表现为功率性能不足.
- 准确地识别驾驶员加速意图对于优化车辆动态至关重要.
研究的目的:
- 提出基于加速意图识别的电动赛车的新扭矩控制策略.
- 为了提高电动赛车的动力性能和响应能力.
主要方法:
- 使用支持向量机器,通过子搜索算法优化加速意图识别.
- 将赛车的运行模式分为"启动模式"和"驾驶模式".
- 在基于已知的加速度意图的"驾驶模式"中实现用于扭矩补偿的模糊控制.
主要成果:
- 用子搜索算法优化的支持矢量机器模型有效地识别了赛车驾驶员的加速意图.
- 拟议的扭矩控制策略成功地弥补了正和负扭矩.
- 电动赛车的动力性能得到了显著的改善.
结论:
- 开发的加速意图识别和扭矩控制策略提高了电动赛车的性能.
- 这种方法通过更好地反映驾驶员的意图,提供了更具动态性和响应性的驾驶体验.
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