基于AIPSO的平行混合动力拖拉机的能源优化控制策略研究
Xiaohui Liu1, Yiwei Wu1,2, Jingyun Zhang1,2
1College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, Henan, China.
PloS one
|February 13, 2025
概括
一个新的自适应性免疫粒子群优化模糊控制策略 (AIPSOFCS) 显著提高了平行混合动力拖拉机的燃油经济性和运行效率. 这种先进的控制方法为农业机械带来了巨大的好处.
科学领域:
- 农业工程 农业工程
- 控制系统 控制系统
- 能源系统 能源系统
背景情况:
- 扭矩是平行混合动力拖拉机燃油经济性和效率的一个关键因素.
- 优化能源控制对于可持续农业发展至关重要.
- 现有的控制策略可能无法充分利用混合动力拖拉机技术的潜力.
研究的目的:
- 为平行混合动力拖拉机开发和评估一个先进的能源优化控制策略.
- 通过智能控制来提高燃油经济性和运营效率.
- 为了研究需求扭矩对拖拉机性能的影响.
主要方法:
- 动力系统参数的设计和拖拉机的动态模型.
- 适应性免疫粒子群集优化模糊控制策略 (AIPSOFCS) 的建议.
- 在和旋耕条件下的模拟分析,将AIPSOFCS与PFCS和FCS进行比较.
- 硬件在循环 (HIL) 测试用于控制器验证.
主要成果:
- 与PFCS和FCS相比,AIPSOFCS表现出优越的燃油经济性和运营效率.
- 与PFCS相比,燃油经济性提高了8.45% () 和2.40% (旋转耕作).
- 与FCS相比,燃油经济性提高了2.93% () 和4.07% (旋转耕作).
- HIL测试证实了AIPSOFCS控制器的实际有效性.
结论:
- 拟议的AIPSOFCS在平行混合动力拖拉机的能源优化方面取得了重大进展.
- 这一战略提高了燃料经济和运营效率,这对现代农业至关重要.
- 该研究为智能农业机械的未来发展提供了宝贵的理论支持.
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