电动汽车双引擎系统的能源管理设计使用鱼优化算法
Chien-Hsun Wu1, Chieh-Lin Tsai1, Jie-Ming Yang1
1Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
双引擎电动汽车使用先进的能源管理策略来提高效率. 鱼优化算法 (WOA) 在优化扭矩分布和提高电动汽车节能方面表现有前途.
科学领域:
- 汽车工程 汽车工程
- 电动汽车技术 电动汽车技术
- 控制系统 控制系统
背景情况:
- 双发动机电动汽车通过实时扭矩分布提供了更高的性能和安全性.
- 这些系统提供冗余性,确保部分电源供应,即使一个电机故障.
研究的目的:
- 优化双引擎电动汽车的能源管理策略.
- 评估基于规则的控制 (RBC),全球网格搜索 (GGS) 和鱼优化算法 (WOA).
主要方法:
- 一个MATLAB/Simulink模拟平台被开发并使用硬件在循环 (HIL) 测试进行验证.
- 在FTP-75驾驶周期下进行了测试,以分析系统性能.
- 在不同的控制策略中,对能源效率的改善进行了比较.
主要成果:
- 在纯模拟中,GGS和WOA分别提高了9.1%和8.9%的能源效率.
- 在HIL模拟中,GGS和WOA比RBC有4.2%和3.8%的改善.
- 再生制动的整合进一步提高了效率,GGS实现了29.4%的改进.
结论:
- 鱼优化算法 (WOA) 是双发动机电动汽车的一个非常有前途的能源管理策略.
- 无论是GGS还是WOA,都比传统的RBC提供了明显的优势.
- 对WOA应用的进一步研究可以提高现实世界的能源节约.
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