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Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis

机译:送货车队数据收集,分析和自然驾驶周期综合

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The paper deals with experimental characterisation and analysis of an isolated delivery vehicle fleet system of a retail company. The on-vehicle data collection has been conducted for a fleet of 10 delivery vehicles running continuously over a three month period. Next, a wide statistical analysis of the collected data is presented, in order to provide a basis for future investigation of possible benefits of replacing the conventional vehicle fleet with a hypothetical one based on electric vehicles. Finally, the recorded large set of driving cycles is used for the purpose of stochastic-based synthesis and validation of a small number of representative driving cycles. Such naturalistic driving cycles can further be used for electric vehicle configuration optimisation and controller design, as well as for design and verification of a vehicle fleet model aimed for various energy planning and smart charging studies.
机译:本文涉及零售公司隔离运输车辆车队系统的实验表征和分析。车上数据收集是针对三个月内连续运行的10辆送货车的车队进行的。接下来,将对收集到的数据进行广泛的统计分析,以便为将来调查基于电动车的假设车队取代常规车队的可能收益提供基础。最后,所记录的大量行驶周期用于基于随机的合成和少量代表性行驶周期的验证。这样的自然行驶周期可以进一步用于电动车辆配置优化和控制器设计,以及用于针对各种能量计划和智能充电研究的车辆车队模型的设计和验证。

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