混合动力汽车动力管理策略的规则控制与模糊控制

2020 IEEE Colombian Conference on Applications of Computational Intelligence (IEEE ColCACI 2020) Pub Date : 2020-08-07 DOI:10.1109/ColCACI50549.2020.9247872

F. C. Corrêa, J. Eckert, Ludmila C. A. Silva, M. Martins, V. Baroncini, F. M. Santiciolli, C. Gonçalves, F. Dedini

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引用次数: 3

摘要

混合动力汽车(HEV)是一种降低燃料消耗、提高车辆性能、保持传统车辆安全性和可靠性的替代方案。动力管理策略(PMS)直接影响混合动力汽车的燃油经济性和性能。本文提出了两种不同的电源管理方法:基于规则的控制和模糊控制。通过对发动机消耗图的分析，仿真结果表明模糊策略比基于规则的策略具有更好的性能。因此，本研究表明，通过正确的动力管理策略可以大大提高燃油经济性

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Rule-based Control and Fuzzy Control for Power Management Strategies for Hybrid Vehicles

The hybrid electric vehicle (HEV) is an alternative to reduce fuel consumption and increase vehicle performance, maintaining the safety and trustworthiness of conventional vehicles. The power management strategy (PMS) influences directly the fuel economy and performance of HEVs. This paper presents two different management approaches for the power management: rule-based control and fuzzy control. Through analysis of the engine consumption map, the results of the simulation show that the fuzzy strategy demonstrates better performance than a rule-based strategy. Therefore, this study indicates that the fuel economy can be substantially enhanced with a correct power management strategy

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来源期刊

2020 IEEE Colombian Conference on Applications of Computational Intelligence (IEEE ColCACI 2020)

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