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A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor

A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor
A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor
This paper presents a new method for battery degradation estimation using a power-energy (PE) function in a battery/ultracapacitor hybrid energy storage system (HESS), and the integrated optimization which concerns both parameters matching and control for HESS has been done as well. A semiactive topology of HESS with double-layer capacitor (EDLC) coupled directly with DC-link is adopted for a hybrid electric city bus (HECB). In the purpose of presenting the quantitative relationship between system parameters and battery serving life, the data during a 37-minute driving cycle has been collected and decomposed into discharging/charging fragments firstly, and then the optimal control strategy which is supposed to maximally use the available EDLC energy is presented to decompose the power between battery and EDLC. Furthermore, based on a battery degradation model, the conversion of power demand by PE function and PE matrix is applied to evaluate the relationship between the available energy stored in HESS and the serving life of battery pack. Therefore, according to the approach which could decouple parameters matching and optimal control of the HESS, the process of battery degradation and its serving life estimation for HESS has been summed up.
1996-1073
Yu, Yuanbin
40b8a3d1-d0cd-4e55-8888-15466bc4c20f
Zhang, Dongdong
8bb2244e-d4f0-4268-92e5-2d9621ee4fe5
Min, Haitao
80e81d9c-43ed-4048-aa50-75c32f84830b
Tang, Yi
0891c026-75e6-43c6-8cc2-20db2ed236db
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4
Yu, Yuanbin
40b8a3d1-d0cd-4e55-8888-15466bc4c20f
Zhang, Dongdong
8bb2244e-d4f0-4268-92e5-2d9621ee4fe5
Min, Haitao
80e81d9c-43ed-4048-aa50-75c32f84830b
Tang, Yi
0891c026-75e6-43c6-8cc2-20db2ed236db
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4

Yu, Yuanbin, Zhang, Dongdong, Min, Haitao, Tang, Yi and Zhu, Tao (2016) A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor. Energies, [4903138]. (doi:10.1155/2016/4903138).

Record type: Article

Abstract

This paper presents a new method for battery degradation estimation using a power-energy (PE) function in a battery/ultracapacitor hybrid energy storage system (HESS), and the integrated optimization which concerns both parameters matching and control for HESS has been done as well. A semiactive topology of HESS with double-layer capacitor (EDLC) coupled directly with DC-link is adopted for a hybrid electric city bus (HECB). In the purpose of presenting the quantitative relationship between system parameters and battery serving life, the data during a 37-minute driving cycle has been collected and decomposed into discharging/charging fragments firstly, and then the optimal control strategy which is supposed to maximally use the available EDLC energy is presented to decompose the power between battery and EDLC. Furthermore, based on a battery degradation model, the conversion of power demand by PE function and PE matrix is applied to evaluate the relationship between the available energy stored in HESS and the serving life of battery pack. Therefore, according to the approach which could decouple parameters matching and optimal control of the HESS, the process of battery degradation and its serving life estimation for HESS has been summed up.

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More information

Accepted/In Press date: 24 March 2016
e-pub ahead of print date: 19 April 2016
Published date: 2016

Identifiers

Local EPrints ID: 418766
URI: http://eprints.soton.ac.uk/id/eprint/418766
ISSN: 1996-1073
PURE UUID: a13a01a1-4a2e-4ebe-9691-2f130d613f82

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Date deposited: 21 Mar 2018 17:30
Last modified: 15 Jan 2020 17:43

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Contributors

Author: Yuanbin Yu
Author: Dongdong Zhang
Author: Haitao Min
Author: Yi Tang
Author: Tao Zhu

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