Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller

Shengzhe ZHOU; Qiang CUI; Maoyuan ZHANG; Guoting XIA; Kai WANG

doi:10.12096/j.2096-4528.pgt.18157

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Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller

New and Renewable Energy | 更新时间：2025-07-04

- Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller
- Power Generation Technology Vol. 39, Issue 6, Pages: 554-560(2018)
- 作者机构：
  
  1.青岛大学自动化与电气工程学院, 山东省青岛市 266071
  2.山东省核电有限公司, 山东省海阳市 265100
  3.青岛市公安局, 山东省青岛市 266071
- 作者简介：
- 基金信息：
  
  National High Technology R & D Program (863 Program)(2014AA052303);Shandong Key R & D Plan(2017GGX50114)
- DOI：10.12096/j.2096-4528.pgt.18157
  CLC：
- Received：20 August 2018，
  
  Published：31 December 2018
- 稿件说明：
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Shengzhe ZHOU, Qiang CUI, Maoyuan ZHANG, et al. Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller[J]. Power Generation Technology, 2018, 39(6): 554-560.
DOI：

Shengzhe ZHOU, Qiang CUI, Maoyuan ZHANG, et al. Study on the Management of Fuel Cell Vehicle Energy System Using Hybrid Fuzzy Logic Controller[J]. Power Generation Technology, 2018, 39(6): 554-560. DOI： 10.12096/j.2096-4528.pgt.18157.

摘要

合理分配不同动力源的输出功率是燃料电池汽车能量管理的重要环节。针对"燃料电池+蓄电池（FC+B）"混合动力汽车，提出一种用复合模糊逻辑控制的能量管理策略。该策略根据负载需求功率、蓄电池当前荷电状态（state of charge，SOC）以及目标区SOC动态调整功率分配。通过MATLAB/Simulink对所提出的复合模糊逻辑控制进行验证。仿真结果证明，当蓄电池SOC适中时（以

SOC

表示荷电状态值，当

SOC

=60%时），SOC在复合模糊逻辑控制策略与功率追踪策略下变化基本相同，但前者的氢耗量减少0.54 g；当蓄电池初始SOC较低或较高时（分别以

SOC

=39.8%和

SOC

=80.2%为例），相较于功率追踪策略，该策略使蓄电池SOC逐渐接近目标区。运用复合模糊逻辑控制可以降低混合动力系统的总能耗，提高系统的效率，控制更加灵活，具有一定的实用价值。

Abstract

Reasonable allocation of power output from different power sources is a core part of fuel cell vehicle energy management. In this paper

an energy management strategy controlled by hybrid fuzzy logic is proposed for the hybrid energy storage system of "fuel cell+battery (FC+B)" electric vehicle. This strategy dynamically adjusts the power distribution according to the load demand power

current state of charge (SOC) of the battery and the target value of the battery SOC. The proposed hybrid fuzzy logic c

ontrol is verified by MATLAB/Simulink. The simulation results show that when the SOC of the battery is moderate (the state of charge value is represented by

SOC

when

SOC

=60%)

the change of SOC is almost the same under the combined fuzzy logic control strategy and power tracking strategy

but the hydrogen consumption of the former is reduced by 0.54g. When the initial SOC of the battery is lower or higher (taking

SOC

=39.8% and

SOC

=80.2%

respectively)

compared with the power tracking strategy

this strategy makes the battery SOC approach the target value gradually. This strategy can improve the efficiency of the system by reducing the energy consumption of fuel cell. The control is more flexible and has certain practical value.

关键词

Keywords

references

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