Optimization and Application for Hydraulic Electric Hybrid Vehicle

Hsiu-Ying Hwang, Tian-Syung Lan and Jia-Shiun Chen
Additional contact information
Hsiu-Ying Hwang: Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Tian-Syung Lan: College of Mechatronic Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Jia-Shiun Chen: Department of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

Energies, 2020, vol. 13, issue 2, 1-17

Abstract: Targeting the application of medium and heavy vehicles, a hydraulic electric hybrid vehicle (HEHV) was designed, and its energy management control strategy is discussed in this paper. Matlab/Simulink was applied to establish the pure electric vehicle and HEHV models, and backward simulation was adopted for the simulation, to get the variation of torque and battery state of charge ( SOC ) through New York City Cycle of the US Environmental Protection Agency (EPA NYCC). Based on the simulation, the energy management strategy was designed. In this research, the rule-based control strategy was implemented as the energy distribution management strategy first, and then the genetic algorithm was utilized to conduct global optimization strategy analysis. The results from the genetic algorithm were employed to modify the rule-based control strategy to improve the electricity economic performance of the vehicle. The simulation results show that the electricity economic performance of the designed hydraulic hybrid vehicle was improved by 36.51% compared to that of a pure electric vehicle. The performance of energy consumption after genetic algorithm optimization was improved by 43.65%.

Keywords: hydraulic hybrid vehicle; NYCC driving cycle; optimization; genetic algorithm (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/2/322/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/2/322/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:2:p:322-:d:306773

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().