电动汽车制动能量回收控制方法集成了模糊控制和改进的火虫算法
Jinfeng Xiong1, Jingbin Song1, Zhiqiang Zhang1
1College of Transportation Engineering, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, China.
PloS one
|March 28, 2025
概括
本研究介绍了一种先进的电动汽车制动能量回收模型. 拟议的系统有效地回收了52.1%的制动能量,提高了车辆的续航里程和电池寿命.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 能源系统 能源系统
背景情况:
- 电动汽车 (EV) 的低效制动能消耗导致行驶里程减少和电池应变增加.
- 优化车能量回收对于提高电动汽车能源效率和性能至关重要.
研究的目的:
- 开发一款用于电动汽车制动能量回收的综合控制模型.
- 提高能源效率和扩大电动汽车的运行范围.
主要方法:
- 将模糊控制算法与遗传火虫算法的集成用于制动能量回收控制.
- 实验分析用于评估模型在实际应用中的性能.
主要成果:
- 在实际应用中实现了52.1%的制动能回收率.
- 证明有效控制回收的能量量,在10%的系统芯片价值下进行最佳回收.
- 观察到充电状态下降12.44%,表明能效能源管理.
结论:
- 设计的模型有效地控制制动能量回收,最大限度地捕获能量,同时确保电池的耐用性和驾驶稳定性.
- 拟议的方法显著扩大了电动汽车的里程范围,有助于新能源领域的进步.
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