吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (9): 2063-2068.doi: 10.13229/j.cnki.jdxbgxb20211422
• • 上一篇
混合动力汽车动力电池自适应神经网络优化控制
李永明1(
),裴小轩1,伊曙东2
- 1.辽宁工业大学 理学院，辽宁 锦州 121001
2.辽宁航天凌河汽车有限公司，辽宁 朝阳 122500
Adaptive neural network optimal control of hybrid electric vehicle power battery
Yong-ming LI1(),Xiao-xuan PEI1,Shu-dong YI2
- 1.College of Science，Liaoning University of Technology，Jinzhou 121001，China
2.Liaoning Aerospace Linghe Automobile Co. ，Ltd. ，Chaoyang 122500，China
摘要：
针对二阶（RC）等效电路模型所建立的动力电池非线性系统，研究了自适应神经网络（NN）输出反馈优化控制的设计问题并进行了稳定性分析。首先，利用神经网络逼近系统未知不确定，并设计了时变增益非线性状态观测器，解决了电池阻容电压和电荷量（SOC）不可测的问题。然后，在Actor-Critic网络框架下，提出了一种基于观测器的自适应神经网络优化控制设计算法。基于Lyapunov稳定性理论，证明了闭环系统所有信号半全局一致最终有界（SGUUB）。最后，通过仿真验证了本文优化控制理论的有效性。
中图分类号:
- O232
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