Electric vehicle model with driving cycle based algorithm for battery and motor minimization

B. Ban, M. Vrazic, Ivan Bahun
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引用次数: 1

Abstract

This paper presents a model of battery powered electric vehicle with computer algorithm for calculation of optimal energy components. The goal of the research was to create a system which can optimize the vehicle battery and motor for the given driving cycle thus minimizing equipment expenses. Furthermore, paper describes tested vehicle, vehicle components modelling, measurement acquisition process, and minimization algorithm. All measurements (mechanical and electrical) were committed on electric vehicle with known drive train characteristic. System inputs are vehicle related constants and driving cycle measurements: torque at one wheel and linear velocity measured on the chosen driving cycle. System outputs are minimized energy components (battery capacity and peak motor power) with simulated power at the motor shaft and battery terminals. To verify the simulation, this data is then compared with real vehicle components and electro-mechanical measurements.
基于行驶循环算法的电动汽车模型,以实现电池和电机的最小化
本文建立了纯电动汽车模型,并用计算机算法计算最优能量分量。这项研究的目标是创建一个系统,该系统可以优化车辆电池和电机的给定行驶周期,从而最大限度地减少设备费用。在此基础上,介绍了测试车辆、车辆部件建模、测量数据采集过程以及最小化算法。所有的测量(机械和电气)都是在已知传动系统特性的电动汽车上进行的。系统输入是车辆相关的常数和驾驶周期测量:在一个车轮上的扭矩和在所选驾驶周期上测量的线速度。系统输出是最小能量分量(电池容量和峰值电机功率),在电机轴和电池端子处模拟功率。为了验证模拟结果,将这些数据与真实车辆部件和机电测量结果进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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