Economic scheduling of Plug-In Hybrid Electric Vehicle considering various travel patterns

2018 National Power Engineering Conference (NPEC) Pub Date : 2018-03-01 DOI:10.1109/NPEC.2018.8476752

A. Akshaya Preethi, J. Jeslin Drusila Nesamalar, S. Suganya, S. Charles Raja

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引用次数: 6

Abstract

Due to the wide usage of fossil fuels, global warming has become a major threat in recent years. Hence, Plug-in Hybrid Electric Vehicles (PHEVs) usage has become an alternative solution due to the depletion of resources and the increasing price of fossil fuels. In this work, the driving pattern of the vehicles is calculated using probability density function. A Fuzzy Logic based method is used to correlate the arrival and departure time of the vehicle with the daily mileage as they are independent in nature. The total operating cost minimization is the main objective of the work by adopting controlled charging strategy. The controlled charging strategy comprises of three different modes: charging, discharging and idle mode. Thus, the economic scheduling of PHEVs using the controlled charging strategy is implemented considering two different test cases namely residential and commercial area, each with a parking lot for charging the vehicles. Finally, the scheduling of PHEV is performed using MATLAB and the results of the two different cases were analyzed under different charging levels and three All Electric Range (AER)-30,40 and 60 ranges of PHEVs.

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考虑多种出行方式的插电式混合动力汽车经济调度

由于化石燃料的广泛使用，全球变暖已成为近年来的主要威胁。因此，由于资源枯竭和化石燃料价格上涨，插电式混合动力汽车(phev)的使用已成为另一种解决方案。在这项工作中，使用概率密度函数计算车辆的驾驶模式。由于车辆到达和离开时间与日行驶里程是相互独立的，因此采用基于模糊逻辑的方法将两者关联起来。采用控制收费策略，使总运行成本最小化是该项工作的主要目标。控制充电策略包括充电、放电和空闲三种模式。因此，考虑两个不同的测试用例，即住宅和商业区域，每个区域都有一个停车场供车辆充电，实现了使用受控充电策略的插电式混合动力汽车的经济调度。最后，利用MATLAB对插电式混合动力汽车进行了调度，并分析了两种情况下不同充电水平下插电式混合动力汽车的全电动里程(AER)-30、40和60的调度结果。

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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2018 National Power Engineering Conference (NPEC)

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