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Energy based graphical user interface modeling for PHEV energy management system

机译:用于PHEV能源管理系统的基于能源的图形用户界面建模

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Plug-in hybrid electric vehicles (PHEVs) are one of the solutions to the increasing environmental concerns and emission standards across the globe. Unlike conventional vehicles, they have charge sustaining capability, thus enabling them to use their stored electrical energy during the charge depleting mode, in turn decreasing the amount of fuel consumption. PHEVs have the provision of an off-board recharging facility in addition to the on-board chargers. Since the amount of electrical energy stored in PHEV is limited, it is important to have an optimal energy distribution among the internal combustion engine (ICE) and the motor in order to improve the fuel efficiency. In this paper, models for each component of a series-parallel HEV are developed and simulated in the case of Toyota hybrids during different driving conditions such as braking, acceleration, and deceleration for a given driving schedule. The power consumption is estimated for every instant. An algorithm can be developed in order to ensure that vehicle is driven mostly in the electric mode and/or in the most efficient operating range of the ICE. The developed vehicle model has been designed in order to validate real-time information of the driving conditions accessible by GPS. This would lead to the optimization of the available energy sources, thus reducing fuel consumptions and the consequent emissions.
机译:插电式混合动力汽车(PHEV)是全球范围内日益关注的环境问题和排放标准的解决方案之一。与常规车辆不同,它们具有电荷保持能力,因此使它们能够在电荷耗尽模式期间使用其存储的电能,从而减少了燃料消耗量。除车载充电器外,插电式混合动力汽车还提供车载充电设施。由于存储在PHEV中的电能数量有限,因此重要的是在内燃机(ICE)和电动机之间具有最佳的能量分配,以提高燃油效率。在本文中,针对丰田混合动力车,在给定驾驶计划的不同驾驶条件下(例如制动,加速和减速),开发并模拟了串并联HEV各个组成部分的模型。估计每个瞬间的功耗。可以开发一种算法,以确保车辆主要以ICE的电动模式和/或最有效的运行范围进行驾驶。设计开发的车辆模型是为了验证GPS可访问的驾驶状况的实时信息。这将导致可利用能源的优化,从而减少燃料消耗和随之而来的排放。

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