Electric vehicle travel optimization-customer satisfaction despite resource constraints

N. Hoch, Kevin Zemmer, B. Werther, R. Siegwart
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引用次数: 23

Abstract

Consumers and producers of mobility products have been co-creating a mobile world - all within the limits of political regulation and infrastructure realities. With the advent of electric vehicles, the existing mobile world requires adaptation: Producers need to create new ecosystems and mobility concepts ([1], [2]), infrastructure requires adaptation ([1]) and lastly consumers might revisit their expectations. Particularly challenging is the market introduction phase of electric vehicles. Neither have the potentials of the infrastructure and the electric vehicles been fully exploited, nor have consumers become accustomed to electric vehicles and shaped their expectations accordingly. Making electric vehicles a success story requires the satisfaction of customer expectations in the face of both electric vehicle and infrastructure realities. This paper suggests an optimization approach which maximizes customer satisfaction for existing electric vehicle and infrastructure realities. For various degrees-of-freedom (DoF) of the mobility system, the improvement potential is analysed with respect to consumption, charging time, cost and travel time. Moreover, the optimization complexity is analysed, which scales with the number of DoF. The approach enables market entry of electric vehicles and provides the means for future e-navigation and e-travel-planning.
电动汽车出行优化——资源约束下的顾客满意度
移动产品的消费者和生产商一直在共同创造一个移动世界——所有这些都是在政治监管和基础设施现实的限制下进行的。随着电动汽车的出现,现有的移动世界需要适应:生产商需要创造新的生态系统和移动概念([1],[2]),基础设施需要适应([1]),最后,消费者可能会重新审视他们的期望。尤其具有挑战性的是电动汽车的市场引入阶段。基础设施和电动汽车的潜力没有得到充分开发,消费者也没有习惯电动汽车并相应地形成他们的期望。要想让电动汽车取得成功,就需要在面对电动汽车和基础设施的现实时满足客户的期望。本文针对现有电动汽车和基础设施的实际情况,提出了一种客户满意度最大化的优化方法。针对不同自由度的移动系统,从能耗、充电时间、成本和行驶时间等方面分析了改进潜力。分析了优化复杂度随自由度数的变化规律。该方法使电动汽车能够进入市场,并为未来的电子导航和电子旅行规划提供了手段。
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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