Abstract
Battery has a fundamental role in energy storage systems for hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), electric vehicles (EV) and nowadays in smart grids. The battery state of charge (SOC) behavior is affected by operating temperature reducing its supply capacity or energy storage, therefore, it has been considered important to establish a mathematical model from experimental data of a electric vehicle during route tests. This article presents a metaheuristic optimization method based on accelerated particle swarm optimization (APSO) for SOC maximization during Lithium-ion (Li-ion) batteries charge and discharge states. The proposed optimization model reach to satisfy the balance between: current, temperature and time for the battery to supply the required amount of energy, minimizing the SOC reduction, subject to system specific restrictions. Simulation results show an improvement in the SOC without sacrificing the energy supply of the battery, which demonstrates the potential of the optimization technique in the EV.
Original language | English |
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Title of host publication | 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9788887237436 |
DOIs | |
State | Published - Jul 2019 |
Event | 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019 - Turin, Italy Duration: 2 Jul 2019 → 4 Jul 2019 |
Publication series
Name | 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019 |
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Conference
Conference | 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019 |
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Country/Territory | Italy |
City | Turin |
Period | 2/07/19 → 4/07/19 |
Bibliographical note
Publisher Copyright:© 2019 AEIT.
Keywords
- APSO algortihm
- Electric vehicle
- Li-ion battery
- Optimization
- State of charge (SOC)