Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method

Guodong Yang; Junqiu Li; Zijian Fu; Linlin Fang

doi:10.1016/j.egypro.2018.09.202

Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method

Guodong Yang, Junqiu Li^*, Zijian Fu, Linlin Fang

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

13 Citations (Scopus)

Abstract

A traditional logic threshold control strategy (LTCS) is proposed but simulation results show control effects have a large gap with pseudo-spectral optimal results. To narrow this gap, the optimization is analyzed, the power relationship between the hybrid energy storage system (HESS) and the vehicle load is determined and the optimal power distribution between the battery and the ultra-capacitor is obtained. A near-optimal LTCS is presented using valuable control rules extracted by analyzing optimal control actions. The near-optimal LTCS can fully use high power characteristics of ultra-capacitor, avoid battery being damaged by high charge and discharge current, and make battery SOC consumption decreased by 2.0%. The hardware-in-the-loop (HIL) experiment is carried out and further validates that the near-optimal LTCS is real-time and reliable.

Original language	English
Pages (from-to)	508-513
Number of pages	6
Journal	Energy Procedia
Volume	152
DOIs	https://doi.org/10.1016/j.egypro.2018.09.202
Publication status	Published - 2018
Event	2018 Applied Energy Symposium and Forum, Carbon Capture, Utilization and Storage, CCUS 2018 - Perth, Australia Duration: 27 Jun 2018 → 29 Jun 2018

Keywords

Energy management strategy
Hybrid energy storage system
Low-temperature characteristics
Pseudo-spectral method

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10.1016/j.egypro.2018.09.202

Cite this

@article{11458f3298fd46539a9db188b877952c,

title = "Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method",

abstract = "A traditional logic threshold control strategy (LTCS) is proposed but simulation results show control effects have a large gap with pseudo-spectral optimal results. To narrow this gap, the optimization is analyzed, the power relationship between the hybrid energy storage system (HESS) and the vehicle load is determined and the optimal power distribution between the battery and the ultra-capacitor is obtained. A near-optimal LTCS is presented using valuable control rules extracted by analyzing optimal control actions. The near-optimal LTCS can fully use high power characteristics of ultra-capacitor, avoid battery being damaged by high charge and discharge current, and make battery SOC consumption decreased by 2.0%. The hardware-in-the-loop (HIL) experiment is carried out and further validates that the near-optimal LTCS is real-time and reliable.",

keywords = "Energy management strategy, Hybrid energy storage system, Low-temperature characteristics, Pseudo-spectral method",

author = "Guodong Yang and Junqiu Li and Zijian Fu and Linlin Fang",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 Elsevier Ltd. All rights reserved.; 2018 Applied Energy Symposium and Forum, Carbon Capture, Utilization and Storage, CCUS 2018 ; Conference date: 27-06-2018 Through 29-06-2018",

year = "2018",

doi = "10.1016/j.egypro.2018.09.202",

language = "English",

volume = "152",

pages = "508--513",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method

AU - Yang, Guodong

AU - Li, Junqiu

AU - Fu, Zijian

AU - Fang, Linlin

PY - 2018

Y1 - 2018

N2 - A traditional logic threshold control strategy (LTCS) is proposed but simulation results show control effects have a large gap with pseudo-spectral optimal results. To narrow this gap, the optimization is analyzed, the power relationship between the hybrid energy storage system (HESS) and the vehicle load is determined and the optimal power distribution between the battery and the ultra-capacitor is obtained. A near-optimal LTCS is presented using valuable control rules extracted by analyzing optimal control actions. The near-optimal LTCS can fully use high power characteristics of ultra-capacitor, avoid battery being damaged by high charge and discharge current, and make battery SOC consumption decreased by 2.0%. The hardware-in-the-loop (HIL) experiment is carried out and further validates that the near-optimal LTCS is real-time and reliable.

AB - A traditional logic threshold control strategy (LTCS) is proposed but simulation results show control effects have a large gap with pseudo-spectral optimal results. To narrow this gap, the optimization is analyzed, the power relationship between the hybrid energy storage system (HESS) and the vehicle load is determined and the optimal power distribution between the battery and the ultra-capacitor is obtained. A near-optimal LTCS is presented using valuable control rules extracted by analyzing optimal control actions. The near-optimal LTCS can fully use high power characteristics of ultra-capacitor, avoid battery being damaged by high charge and discharge current, and make battery SOC consumption decreased by 2.0%. The hardware-in-the-loop (HIL) experiment is carried out and further validates that the near-optimal LTCS is real-time and reliable.

KW - Energy management strategy

KW - Hybrid energy storage system

KW - Low-temperature characteristics

KW - Pseudo-spectral method

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U2 - 10.1016/j.egypro.2018.09.202

DO - 10.1016/j.egypro.2018.09.202

M3 - Conference article

AN - SCOPUS:85058227120

SN - 1876-6102

VL - 152

SP - 508

EP - 513

JO - Energy Procedia

JF - Energy Procedia

T2 - 2018 Applied Energy Symposium and Forum, Carbon Capture, Utilization and Storage, CCUS 2018

Y2 - 27 June 2018 through 29 June 2018

ER -

Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method

Abstract

Keywords

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