混合储能系统闭环Haar小波变换能量管理方法

申永鹏; 孙嵩楠; 王延峰; 唐耀华; 李元丰

doi:10.19912/j.0254-0096.tynxb.2022-0976

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 523-530. DOI: 10.19912/j.0254-0096.tynxb.2022-0976

混合储能系统闭环Haar小波变换能量管理方法

申永鹏¹, 孙嵩楠¹, 王延峰¹, 唐耀华², 李元丰¹

作者信息 +

CLOSED-LOOP HAAR WAVELET TRANSFORM ENERGY MANAGEMENT METHOD OF HYBRID ENERGY STORAGE SYSTEM

Shen Yongpeng¹, Sun Songnan¹, Wang Yanfeng¹, Tang Yaohua², Li Yuanfeng¹

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文章历史 +

摘要

混合储能系统在新能源并网、电动汽车等领域应用广泛,针对负载功率需求中的高频分量造成锂离子电池寿命衰减问题,提出闭环Haar小波变换能量管理方法。首先介绍混合储能系统电路结构,继而在分析Haar小波变换的基础上,提出Haar小波变换能量管理策略及非线性比例算法,通过Haar小波变换将功率需求中的高频分量和低频分量分离,以减小高频功率需求对锂离子电池寿命的影响,并采用非线性比例算法对锂离子电池输出电流进行动态调节以保持直流母线电压的稳定。最后在模拟CLTC-P工况下进行实验,实验结果表明,所提出的闭环Haar小波变换能量管理方法能将直流母线电压最大偏差控制在2.75%以内,同时有效避免高频分量对锂离子电池寿命的影响。

Abstract

Hybrid energy storage systems are widely used in new energy grid-connected, electric vehicles and other fields. Focused on the problem of Lithium-ion battery life attenuation caused by a high-frequency component in load power requirements, a closed-loop Haar wavelet transform energy management method is proposed. Firstly, the circuit structure of the hybrid energy storage system is introduced, and then based on the analysis of the Haar wavelet transform, the Haar wavelet transform energy management strategy and nonlinear proportional algorithm are proposed. Through the Haar wavelet transform, the separation of the high-frequency component and low-frequency component of the power demand is achieved, and the life attenuation caused by the high-frequency component is diminished. Then the nonlinear proportional algorithm is proposed to dynamically adjust the output current of the Lithium-ion battery to keep the DC bus voltage stable. Finally, experiments are conducted under simulated CLTC-P conditions. The experimental results show that the proposed closed-loop Haar wavelet transform energy management method can control the maximum deviation of the DC bus voltage within 2.75%, while effectively avoiding the impact of high-frequency components on the life of the Lithium-ion battery.

导出引用

申永鹏, 孙嵩楠, 王延峰, 唐耀华, 李元丰. 混合储能系统闭环Haar小波变换能量管理方法[J]. 太阳能学报. 2023, 44(10): 523-530 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0976

Shen Yongpeng, Sun Songnan, Wang Yanfeng, Tang Yaohua, Li Yuanfeng. CLOSED-LOOP HAAR WAVELET TRANSFORM ENERGY MANAGEMENT METHOD OF HYBRID ENERGY STORAGE SYSTEM[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 523-530 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0976

中图分类号： TM912

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