Active energy management of electric vehicles with cartographic data

A. Dardanelli, M. Tanelli, S. Savaresi, M. Santucci
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引用次数: 17

Abstract

The energetic behavior of electric vehicles (EVs) is significantly influenced by the characteristics of the route, in terms of, for example, environmental conditions, road grade and traffic. As such, a control strategy that actively manages the energy flows on board must take into account these aspects. This paper analyzes how road grade influences the battery discharge rate in a light electric vehicle, and how a State-of-Charge tracking policy needs to be modified to ensure the desired performance in the face of uphill and downhill parts of the route. Both simulations and experimental results are provided to support the proposed approach.
基于地图数据的电动汽车主动能量管理
电动汽车(ev)的能量行为受到路线特征的显著影响,例如环境条件、道路坡度和交通。因此,主动管理船上能量流的控制策略必须考虑到这些方面。本文分析了道路坡度对轻型电动汽车电池放电率的影响,以及如何修改充电状态跟踪策略以确保在上坡和下坡路段的理想性能。仿真和实验结果均支持该方法。
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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