A Real-Time Layer-Adaptive Wavelet Transform Energy Distribution Strategy in a Hybrid Energy Storage System of EVs

Jun Peng, Rui Wang, Hongtao Liao, Yanhui Zhou, Heng Li, Yue Wu and Zhiwu Huang
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Jun Peng: School of Information Science and Engineering, Central South University, Changsha 410083, China
Rui Wang: School of Information Science and Engineering, Central South University, Changsha 410083, China
Hongtao Liao: School of Information Science and Engineering, Central South University, Changsha 410083, China
Yanhui Zhou: School of Information Science and Engineering, Central South University, Changsha 410083, China
Heng Li: School of Information Science and Engineering, Central South University, Changsha 410083, China
Yue Wu: School of Information Science and Engineering, Central South University, Changsha 410083, China
Zhiwu Huang: School of Information Science and Engineering, Central South University, Changsha 410083, China

Energies, 2019, vol. 12, issue 3, 1-17

Abstract: In this paper, a real-time energy distribution strategy is designed by a layer-adaptive wavelet transform algorithm and proposed to meet the load power demand while distributing the high-frequency component to supercapacitors and the low-frequency component to batteries in a hybrid energy storage system. In the proposed method, the number of decomposition layers of wavelet transform corresponding to the load power is adaptively determined by dividing the operation zone of supercapacitors into eight cases to respectively distribute the low frequency component to batteries and the remaining high frequency component to supercapacitors. Firstly, since the state of charge of supercapacitors decreases faster as the decomposition layers increases, the state of charge of supercapacitors is divided into eight cases of operation zones. Secondly, since supercapacitors act as the peak power buffer unit, the corresponding number of decomposition layers is finally adaptively determined according to the operation zone of supercapacitors. An experiment testbed is built to verify the effectiveness of the proposed method. Extensive experiment results show that the proposed method provides a better real-time energy sharing between supercapacitors and batteries when compared with the conditional method.

Keywords: wavelet transform; real-time; electric vehicles; energy management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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