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Study of a parallel hybrid electric vehicle performance by means of rules-based control strategies

机译:通过基于规则的控制策略的平行混合动力电动车性能研究

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The power required for hybrid vehicle traction must be well distributed between the different power sources to improve the parallel hybrid electric vehicle (PHEV) performance. Energy management is carried out by applying a control strategy in the vehicle's traction chain. Energy management control strategies (EMCS) have different performance and can be classified into different categories. The objective of this article is to compare the fuel consumption and the polluting emissions of a PHEV controlled by two types of EMCS, the electric assistance control strategy (EACS) and the fuzzy logic control strategy (FLCS), in urban and highway driving cycles. The EMCS must, in all cases and at all times, ensure an efficient distribution of power between the internal combustion engine (ICE) and the electric motor (EM), to meet energy needs and improve vehicle performance by minimizing gas emissions and fuel consumption.
机译:混合动力车辆牵引所需的功率必须在不同电源之间分布很好地分布,以改善并联混合动力电动车辆(PHEV)性能。通过在车辆的牵引链中应用控制策略来进行能量管理。能源管理控制策略(EMC)具有不同的性能,可以分为不同的类别。本文的目的是将燃料消耗和由两种EMC,电动援助控制策略(EAC)和模糊逻辑控制策略(FLCS)控制的PHEV的污染排放进行了比较,在城市和公路驾驶周期中。在所有情况下,EMC必须在所有情况下,确保内燃机(ICE)和电动机(EM)之间有效分配电力,以满足能量需求,通过最小化气体排放和燃料消耗来改善车辆性能。

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