通过强大的自适应ECMS控制框架,提高双引擎PHEV的燃油经济性和排放性能
Haichao Liu1, Yaolin Wang1, Hongliang Wang1
1School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450000, P.R. China.
ACS omega
|February 2, 2026
概括
一个新的自适应等效消耗最小化策略 (A-ECMS) 控制器改善了双引擎插电式混合动力电动汽车 (PHEV) 的燃油经济性和减少了排放量. 这种先进的控制策略可以大幅节省成本,并在各种驾驶条件下保持性能.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 可持续的运输可持续的运输
背景情况:
- 能源管理策略对于插电式混合动力电动汽车 (PHEV) 的效率至关重要,特别是在双发动机系统中.
- 传统的等效消耗最小化策略 (ECMS) 控制器经常使用固定因素,限制适应各种驾驶条件的适应性.
研究的目的:
- 为双发动机PHEVs开发和评估一种新的自适应等效消耗最小化策略 (A-ECMS) 控制器.
- 提高燃油经济性,减少排放,提高对外部干扰的控制稳定性.
主要方法:
- 提出了一种双静态A-ECMS控制器,可以根据实时驾驶条件动态调整等效消耗因子.
- 进行了比较实验,使用基于规则的 (RB) 控制和传统的ECMS作为标准和受干扰的驾驶周期下的基准.
主要成果:
- 与ECMS相比,A-ECMS在名义条件下提高了7.8%的燃油经济性,并减少了15.14g/km的二氧化碳排放.
- 即使在5%的随机噪声下,A-ECMS也显示了6.9%的燃油经济改善和14.39%的二氧化碳减少.
- 在代表性场景中,显著节省了30.17%和28.56%的成本.
结论:
- 对于双发动机PHEV来说,A-ECMS控制器表现出卓越的稳定性,适应性和经济效益.
- 这一战略为优化低碳出行中的混合动力发动机实时控制提供了宝贵的见解.
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