Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles

Zhang Qiao, Weiwen Deng, Jian Wu, Feng Ju, Jingshan Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a novel power management control strategy of battery and supercapacitor hybrid energy storage system to improve system efficiency and battery lifetime. In the presented research, the high and low frequency power demand in the load is separated by a Haar wavelet transform algorithm to overcome the problem of battery overload work and associated degeneration in battery lifetime resulting from an ineffective distribution between battery and supercapacitor. The purpose of frequency distribution is that the supercapacitor is used to share high frequency power components of load power demand to smooth the power demand applied to battery. However, the sole frequency control often fails to realize the optimal utilization of supercapacitor because of the uncertain variation in the driving cycle. Therefore, the power demand distributed to supercapacitor is designed to be changeable along with the variation of its voltage, which is another important advantage of the proposed control strategy. The idea is to utilize different decomposition levels of wavelet transform algorithm, which is adjusted by using a fuzzy-logic controller to reduce the adverse influence of both high frequency transition and peak power from the load power demand on battery system. Finally, Simulation is conducted to verify the effectiveness of the proposed strategy.

Original languageEnglish (US)
Title of host publicationSAE 2016 World Congress and Exhibition
PublisherSAE International
Volume2016-April
EditionApril
DOIs
StatePublished - Apr 5 2016
Externally publishedYes
EventSAE 2016 World Congress and Exhibition - Detroit, United States
Duration: Apr 12 2016Apr 14 2016

Other

OtherSAE 2016 World Congress and Exhibition
CountryUnited States
CityDetroit
Period4/12/164/14/16

Fingerprint

Electric vehicles
Wavelet transforms
Energy storage
Fuzzy logic
Supercapacitor
Decomposition
Controllers
Electric potential

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Cite this

Qiao, Z., Deng, W., Wu, J., Ju, F., & Li, J. (2016). Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles. In SAE 2016 World Congress and Exhibition (April ed., Vol. 2016-April). SAE International. https://doi.org/10.4271/2016-01-1203

Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles. / Qiao, Zhang; Deng, Weiwen; Wu, Jian; Ju, Feng; Li, Jingshan.

SAE 2016 World Congress and Exhibition. Vol. 2016-April April. ed. SAE International, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Qiao, Z, Deng, W, Wu, J, Ju, F & Li, J 2016, Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles. in SAE 2016 World Congress and Exhibition. April edn, vol. 2016-April, SAE International, SAE 2016 World Congress and Exhibition, Detroit, United States, 4/12/16. https://doi.org/10.4271/2016-01-1203
Qiao Z, Deng W, Wu J, Ju F, Li J. Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles. In SAE 2016 World Congress and Exhibition. April ed. Vol. 2016-April. SAE International. 2016 https://doi.org/10.4271/2016-01-1203
Qiao, Zhang ; Deng, Weiwen ; Wu, Jian ; Ju, Feng ; Li, Jingshan. / Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles. SAE 2016 World Congress and Exhibition. Vol. 2016-April April. ed. SAE International, 2016.
@inproceedings{2515890cd4a344648b2a75ecc12bc83d,
title = "Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles",
abstract = "This paper describes a novel power management control strategy of battery and supercapacitor hybrid energy storage system to improve system efficiency and battery lifetime. In the presented research, the high and low frequency power demand in the load is separated by a Haar wavelet transform algorithm to overcome the problem of battery overload work and associated degeneration in battery lifetime resulting from an ineffective distribution between battery and supercapacitor. The purpose of frequency distribution is that the supercapacitor is used to share high frequency power components of load power demand to smooth the power demand applied to battery. However, the sole frequency control often fails to realize the optimal utilization of supercapacitor because of the uncertain variation in the driving cycle. Therefore, the power demand distributed to supercapacitor is designed to be changeable along with the variation of its voltage, which is another important advantage of the proposed control strategy. The idea is to utilize different decomposition levels of wavelet transform algorithm, which is adjusted by using a fuzzy-logic controller to reduce the adverse influence of both high frequency transition and peak power from the load power demand on battery system. Finally, Simulation is conducted to verify the effectiveness of the proposed strategy.",
author = "Zhang Qiao and Weiwen Deng and Jian Wu and Feng Ju and Jingshan Li",
year = "2016",
month = "4",
day = "5",
doi = "10.4271/2016-01-1203",
language = "English (US)",
volume = "2016-April",
booktitle = "SAE 2016 World Congress and Exhibition",
publisher = "SAE International",
edition = "April",

}

TY - GEN

T1 - Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery/Supercapacitor Combination in Electric Vehicles

AU - Qiao, Zhang

AU - Deng, Weiwen

AU - Wu, Jian

AU - Ju, Feng

AU - Li, Jingshan

PY - 2016/4/5

Y1 - 2016/4/5

N2 - This paper describes a novel power management control strategy of battery and supercapacitor hybrid energy storage system to improve system efficiency and battery lifetime. In the presented research, the high and low frequency power demand in the load is separated by a Haar wavelet transform algorithm to overcome the problem of battery overload work and associated degeneration in battery lifetime resulting from an ineffective distribution between battery and supercapacitor. The purpose of frequency distribution is that the supercapacitor is used to share high frequency power components of load power demand to smooth the power demand applied to battery. However, the sole frequency control often fails to realize the optimal utilization of supercapacitor because of the uncertain variation in the driving cycle. Therefore, the power demand distributed to supercapacitor is designed to be changeable along with the variation of its voltage, which is another important advantage of the proposed control strategy. The idea is to utilize different decomposition levels of wavelet transform algorithm, which is adjusted by using a fuzzy-logic controller to reduce the adverse influence of both high frequency transition and peak power from the load power demand on battery system. Finally, Simulation is conducted to verify the effectiveness of the proposed strategy.

AB - This paper describes a novel power management control strategy of battery and supercapacitor hybrid energy storage system to improve system efficiency and battery lifetime. In the presented research, the high and low frequency power demand in the load is separated by a Haar wavelet transform algorithm to overcome the problem of battery overload work and associated degeneration in battery lifetime resulting from an ineffective distribution between battery and supercapacitor. The purpose of frequency distribution is that the supercapacitor is used to share high frequency power components of load power demand to smooth the power demand applied to battery. However, the sole frequency control often fails to realize the optimal utilization of supercapacitor because of the uncertain variation in the driving cycle. Therefore, the power demand distributed to supercapacitor is designed to be changeable along with the variation of its voltage, which is another important advantage of the proposed control strategy. The idea is to utilize different decomposition levels of wavelet transform algorithm, which is adjusted by using a fuzzy-logic controller to reduce the adverse influence of both high frequency transition and peak power from the load power demand on battery system. Finally, Simulation is conducted to verify the effectiveness of the proposed strategy.

UR - http://www.scopus.com/inward/record.url?scp=84975252053&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84975252053&partnerID=8YFLogxK

U2 - 10.4271/2016-01-1203

DO - 10.4271/2016-01-1203

M3 - Conference contribution

AN - SCOPUS:84975252053

VL - 2016-April

BT - SAE 2016 World Congress and Exhibition

PB - SAE International

ER -