首页> 外文期刊>IEEE transactions on industrial informatics >Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework
【24h】

Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework

机译:基于决策框架的燃料电池混合电动汽车最佳成本最小化策略

获取原文
获取原文并翻译 | 示例

摘要

The low economy of fuel cell hybrid electric vehicles is a big challenge to their wide usage. In this article, a road, health, and price-conscious optimal cost minimization strategy based on a decision-making framework was developed to decrease their overall cost. First, an online applicable cost minimization strategy was developed to minimize the overall operating costs of the vehicles, including the hydrogen cost and degradation costs of the fuel cell and battery. Second, a decision-making framework composed of the driving pattern recognition-enabled, prognostics-enabled, and price prediction-enabled decision makings, for the first time, was built to recognize the driving pattern, estimate the health states of power sources, and project future prices of hydrogen and power sources. Based on these estimations, optimal equivalent cost factors were updated to reach the optimal results on the overall cost and charge sustaining of a battery. The effects of driving cycles, degradation states, and pricing scenarios were analyzed.
机译:燃料电池混合动力电动汽车的低经济性对其广泛使用是一个很大的挑战。在本文中,制定了基于决策框架的道路,健康和可观的最佳成本最小化战略,以降低其总体成本。首先,开发了在线适用的成本最小化策略,以最大限度地减少车辆的整体运营成本,包括燃料电池和电池的氢成本和降解成本。其次,由驾驶模式识别启用,启用的预测和价格预测的决策制备组成的决策框架是为了识别驾驶模式,估计电源的健康状态,以及项目未来氢气和电源价格。基于这些估计,更新了最佳的等效成本因素,以达到最佳结果对电池的总成本和电荷。分析了驱动循环,降解状态和定价方案的影响。

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