引用本文:陈林,贾志桓,丁天威,高金武.基于模糊逻辑和变增益广义超螺旋算法的液冷燃料电池温度控制[J].控制理论与应用,2025,42(8):1596~1605.[点击复制]
CHEN Lin,JIA Zhi-huan,DING Tian-wei,GAO Jin-wu.Temperature control for liquid-cooled fuel cells based on fuzzy logic and variable-gain generalized supertwisting algorithm[J].Control Theory & Applications,2025,42(8):1596~1605.[点击复制]
基于模糊逻辑和变增益广义超螺旋算法的液冷燃料电池温度控制
Temperature control for liquid-cooled fuel cells based on fuzzy logic and variable-gain generalized supertwisting algorithm
摘要点击 2362  全文点击 157  投稿时间：2024-07-31  修订日期：2025-07-11
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DOI编号  10.7641/CTA.2024.40413
  2025,42(8):1596-1605
中文关键词  液冷燃料电池  温度控制  广义超螺旋算法  模糊控制  平衡优化器
英文关键词  liquid-cooled fuel cell  temperature control  generalized supertwisting algorithm  fuzzy control  equilibrium optimizer
基金项目  
作者单位E-mail
陈林 吉林大学汽车仿真与控制国家重点实验室 chenlin21@mails.jlu.edu.cn 
贾志桓 吉林大学汽车仿真与控制国家重点实验室  
丁天威 一汽集团研发总院动力总成研究所  
高金武* 吉林大学汽车仿真与控制国家重点实验室  
中文摘要
      燃料电池的液体冷却系统(LCS)面临着严重的时间延迟、模型不确定性、泵和风扇耦合以及频繁干扰等挑战, 从而导致超调和控制振荡,降低温度调节性能.为应对这些挑战,本文提出了一种结合模糊逻辑和变增益广义超扭曲算 法(VG-GSTA)的复合控制方案.首先,用于泵的一维(1D)模糊逻辑控制(FLC)可确保稳定的冷却剂流量,而用于风扇的 二维(2D)模糊逻辑控制(FLC)则可调节电堆温度,使其接近参考值.然后引入VG-GSTA来消除稳态误差,提供抗干扰能 力并最大限度地减少控制振荡.平衡优化器用于优化VG-GSTA参数.联合仿真验证了本文方法的有效性,表明了其在 抗干扰、超调抑制、跟踪精度和响应速度方面的优势.
英文摘要
      The liquid cooling system (LCS) of fuel cells is challenged by significant time delays, model uncertainties, pump and fan coupling, and frequent disturbances, leading to overshoot and control oscillations that degrade temperature regulation performance. To address these challenges, we propose a composite control scheme combining fuzzy logic and a variable-gain generalized supertwisting algorithm (VG-GSTA). Firstly, a one-dimensional (1D) fuzzy logic controler (FLC) for the pump ensures stable coolant flow, while a two-dimensional (2D) FLC for the fan regulates the stack temperature near the reference value. The VG-GSTA is then introduced to eliminate steady-state errors, offering resistance to disturbances and minimizing control oscillations. The equilibrium optimizer is used to fine-tune VG-GSTA parameters. Co-simulation verifies the effectiveness of our method, demonstrating its advantages in terms of disturbance immunity, overshoot suppres sion, tracking accuracy and response speed.