首页> 外文会议>Annual Conference of the IEEE Industrial Electronics Society >Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection
【24h】

Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection

机译:电动汽车热管理系统最优模式选择的混合模型预测控制

获取原文

摘要

Vehicle thermal management systems of Fully Electric Vehicles bring increased demands on control algorithms to operate the vehicle efficiently. Especially, if there are multiple heat sources and sinks (cabin, batteries, electric drive, thermal energy storage, etc.), it is necessary to select the system operating mode (configuration of actuators), under which the system will operate efficiently with respecting defined constraints and references tracking. This paper brings a novel approach to the decision-making algorithm, which is based on the Hybrid Model Predictive Control and optimally solves the problem with regards to the defined objective function.
机译:电动汽车的车辆热管理系统对控制算法提出了更高的要求,以有效地操作车辆。尤其是,如果有多个热源和散热器(机舱,电池,电驱动器,热能存储装置等),则必须选择系统运行模式(执行器的配置),在该模式下系统将相对于定义的约束和参考跟踪。本文为决策算法提供了一种新颖的方法,该方法基于混合模型预测控制,并针对定义的目标函数优化地解决了该问题。

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