首页> 外文期刊>Mathematical and Computer Modelling of Dynamical Systems >Feed-forward modelling and fuzzy logic based control strategy for powertrain efficiency improvement in a parallel hybrid electric vehicle
【24h】

Feed-forward modelling and fuzzy logic based control strategy for powertrain efficiency improvement in a parallel hybrid electric vehicle

机译:基于前馈建模和基于模糊逻辑的控制策略,可改善并联混合动力电动汽车的动力总成效率

获取原文
获取原文并翻译 | 示例
           

摘要

With the stricter limitations on both fuel consumption and air pollution, the advantages of a hybrid electric vehicle are becoming more evident than ever. In the present study, an energy management system for a hybrid electric vehicle is developed. Because the plant under consideration is nonlinear, multi-domain, time-varying, has multiple uncertainties and, in addition, the designed control strategy must be able to obey the driver's commands and achieve the par-internship for a new generation of vehicle regulations, the fuzzy logic approach is chosen. A feed-forward hybrid vehicle simulation model is used to demonstrate the validity and the convenience of the current approach and its results have been compared with the other parallel hybrid electric vehicle control strategies. Simulation results show considerable improvement in the efficiency of the internal combustion engine and, consequently, fuel consumption and acceleration performances.
机译:随着对燃油消耗和空气污染的严格限制,混合动力电动汽车的优势比以往任何时候都更加明显。在本研究中,开发了用于混合动力电动车辆的能量管理系统。由于所考虑的工厂是非线性,多领域,时变的,具有多个不确定性,此外,设计的控制策略必须能够遵守驾驶员的命令并实现新一代车辆法规的标准实习,选择了模糊逻辑方法。前馈混合动力汽车仿真模型用于证明当前方法的有效性和便利性,并将其结果与其他并联混合动力汽车控制策略进行了比较。仿真结果显示了内燃机效率的显着提高,因此,燃料消耗和加速性能也得到了显着提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号