Fuzzy Logic Controller and Load Point Selection Based Fuel-Efficient Hybrid Controller for PSHEVs

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) Pub Date : 2019-11-01 DOI:10.23919/ELECO47770.2019.8990667

Atakan Yasin Yesilyurt, A. Sakalli, F. Hacioglu, Muhammed Ali Mungan

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Abstract

The control of Hybrid Electric Vehicles (HEVs) has become one of the trend research topics due to continuous reduction of emission limits. Researchers put effort to combine different HEV powertrains and control strategies to achieve global emission restrictions via reducing fuel consumption without sacrificing performance and desired drivability. In this paper, a Fuzzy Logic Control (FLC) based control strategy is proposed for driving mode selection to operate engine only in required conditions. Besides, a Load Point Selection (LPS) algorithm based on engine’s Brake Specific Fuel Consumption (BSFC) characteristic is used to ensure the engine operation at the efficient region. The proposed hybrid controller algorithm is applied to power-split HEV architecture. The WLTP class-3 drive cycle is used for the validation of the proposed algorithm. The simulation results show the effectiveness of the proposed FLC and LPS based fuel-efficient hybrid control strategy for PSHEVs.

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基于模糊逻辑控制器和负载点选择的pshev节油混合控制器

随着排放限值的不断降低，混合动力汽车的控制已成为趋势研究课题之一。研究人员努力将不同的混合动力系统和控制策略结合起来，在不牺牲性能和理想驾驶性能的情况下，通过降低油耗来实现全球排放限制。本文提出了一种基于模糊逻辑控制(FLC)的驱动模式选择控制策略，使发动机只在要求的条件下运行。此外，采用基于发动机制动比油耗(BSFC)特性的负载点选择(LPS)算法，保证发动机在有效区域运行。将所提出的混合控制器算法应用于功率分割型混合动力汽车结构。WLTP 3类驱动周期用于验证所提出的算法。仿真结果表明，所提出的基于FLC和LPS的混合节油控制策略是有效的。

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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2019 11th International Conference on Electrical and Electronics Engineering (ELECO)

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