电池(电)
控制器(灌溉)
汽车工程
燃料效率
能源消耗
动态规划
计算机科学
电能消耗
能量(信号处理)
模式(计算机接口)
缩小
控制理论(社会学)
工程类
模拟
控制(管理)
算法
电能
电气工程
功率(物理)
统计
物理
数学
量子力学
农学
生物
程序设计语言
人工智能
操作系统
作者
Wei Wang,Zhenjiang Cai,Shaofei Liu
摘要
A real-time control is proposed for plug-in-hybrid electric vehicles (PHEVs) based on dynamic programming (DP) and equivalent fuel consumption minimization strategy (ECMS) in this study. Firstly, the resulting controls of mode selection and series mode are stored in tables through offline simulation of DP, and the parallel HEV mode uses ECMS-based real-time algorithm to reduce the application of maps and avoid manual adjustment of parameters. Secondly, the feedback energy management system (FMES) is built based on feedback from SoC, which takes into account the charge and discharge reaction (CDR) of the battery, and in order to make full use of the energy stored in the battery, the reference SoC is introduced. Finally, a comparative simulation on the proposed real-time controller is conducted against DP, the results show that the controller has a good performance, and the fuel consumption value of the real-time controller is close to the value using DP. The engine operating conditions are concentrated in the low fuel consumption area of the engine, and when the driving distance is known, the SoC can follow the reference SoC well to make full use of the energy stored in the battery.
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