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Eco-Driving Rules Extraction from a Model Based Optimization for a New Generation EV

机译:从基于模型的优化模型中提取新一代电动汽车的生态驾驶规则

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Electric vehicles are facing a real challenge as they are expected to reduce drastically energy consumption and air pollution of transport. However their performances remain under users' expectation mainly concerning the range and its fluctuation. "Eco-behavior" use like eco-driving could help to reduce range weakness. This paper proposes an approach based on speed profile optimization that allows the extraction of the eco-driving rules. The optimization uses an experimentally validated model associated to a dynamic programming method. The study of the more impacting parameters showed high influence of the cruising speed value whereas the acceleration rate could be considered as a second order parameter excepting for high level time constraints.
机译:电动汽车正面临着真正的挑战,因为它们有望大大减少能源消耗和运输过程中的空气污染。然而,他们的表现主要在范围和波动方面,仍在用户的期望之内。像生态驾驶这样的“生态行为”使用可以帮助减少行驶距离不足。本文提出了一种基于速度曲线优化的方法,该方法允许提取生态驾驶规则。优化使用与动态编程方法相关的经过实验验证的模型。对影响更大的参数的研究表明,巡航速度值的影响很大,而加速度率除了高水平的时间限制外,还可以视为二阶参数。

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