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基于ADVISOR的纯电动汽车能量优化控制策略研究

he energy optimization control strategy study of pure electric vehicles based on ADVISOR

中文摘要英文摘要

为了改善和提高纯电动汽车的能量利用效率及续驶里程,研究新能源汽车能量优化控制算法的有效性和可靠性,实现"按需供给"。本文提出了电机的控制策略,设计了模糊控制算法,其中以量化的驾驶意图x、车速v和加速踏板开度 为模糊控制器的输入量,将输出的转矩为输出量。利用Matlab/Simulink建立相应的仿真模型,并用Advisor软件搭建起整车仿真平台,实现仿真。仿真结果表明:利用该模糊控制算法控制电机,原给定的纯电动汽车在某一工况下续驶里程为7.5公里,而施加该算法后续驶里程提高到10.4公里,因而有效地提高了纯电动汽车的能量利用效率及续驶里程。

In order to improve the energy efficiency and driving range of pure electric vehicles,study the validity and reliability of the new energy vehicles' energy optimization control algorithm,achieve the "supply-demand",the paper raised the motor strategy and designed the fuzzy control algorithm.Among the algorithm ,the driving intention,the speed and the acceleration pedal as the input of the fuzzy controller,while the torque as the output.Build the simulation model with the Matlab / Simulink,erect the vehicle simulation platform with the Advisor for simulation.The results showed that ,with the fuzzy control algorithm ,the driving range of the pure electric vehicle raised from 7.5km to 10.4 km in the same cycle.So the algorithm could improve the energy efficiency and the driving range effectively.

周易、肖献强

公路运输工程能源动力工业经济自动化技术、自动化技术设备

电机控制系统模糊控制advisor仿真试验。

motor control systemfuzzy controlAdvisorsimulation test

周易,肖献强.基于ADVISOR的纯电动汽车能量优化控制策略研究[EB/OL].(2016-03-14)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/201603-171.点此复制

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