Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method. (October 2018)
- Record Type:
- Journal Article
- Title:
- Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method. (October 2018)
- Main Title:
- Optimization of logic threshold control strategy for electric vehicles with hybrid energy storage system by pseudo-spectral method
- Authors:
- Yang, Guodong
Li, Junqiu
Fu, Zijian
Fang, Linlin - Abstract:
- 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.
- Is Part Of:
- Energy procedia. Volume 152(2018)
- Journal:
- Energy procedia
- Issue:
- Volume 152(2018)
- Issue Display:
- Volume 152, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 152
- Issue:
- 2018
- Issue Sort Value:
- 2018-0152-2018-0000
- Page Start:
- 508
- Page End:
- 513
- Publication Date:
- 2018-10
- Subjects:
- energy management strategy -- hybrid energy storage system -- low-temperature characteristics -- pseudo-spectral method
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2018.09.202 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
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- 11341.xml