• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Electric and Hybrid Vehicles >Adaptive control for hybrid electric vehicles
【24h】

Adaptive control for hybrid electric vehicles

机译：混合动力电动汽车的自适应控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Existing controllers of hybrid electric vehicles (HEV) are mostly tuned to achieve higher fuel economy for specific driving conditions. In this paper, a brief review of control strategies is presented followed by new approaches to implementing an optimisation based controller. First, a control strategy based on stochastic dynamic programming that can be used for real time applications is presented. This strategy achieves about 10% increase in fuel efficiency in most drive cycles over a rule-based control strategy. The second analysis uses an artificial neural network (ANN) to develop an optimised control strategy. Several existing hybrid control strategies are used to model a base for city and highway driving. Elite simulation data was extracted to form a training set for the ANN. The training set was then used to develop a new ANN control strategy that was superior to all the existing strategies used to develop the training set.
机译：现有的混合动力汽车（HEV）控制器大多经过调整，可在特定驾驶条件下实现更高的燃油经济性。在本文中，简要介绍了控制策略，然后介绍了实现基于优化的控制器的新方法。首先，提出了一种基于随机动态规划的控制策略，可用于实时应用。与基于规则的控制策略相比，该策略在大多数驾驶循环中可将燃油效率提高约10％。第二种分析使用人工神经网络（ANN）来开发优化的控制策略。现有的几种混合控制策略用于为城市和公路驾驶基础建模。提取精英模拟数据以形成ANN的训练集。然后，使用训练集来开发新的ANN控制策略，该策略优于用于开发训练集的所有现有策略。

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