Abstract
This paper describes an energy management strategy for a light-weight electric vehicle equipped with a hybrid energy storage system. A population based optimization algorithm was used to solve a single objective constrained optimization problem, where the energy consumed by the battery was to be minimized for a given drive cycle in order to extend the range of the vehicle. Obtained results show the effectiveness of the proposed energy management strategy at minimizing the energy consumed while maintaining the imposed constraints.
| Original language | British English |
|---|---|
| Title of host publication | 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509054541 |
| DOIs | |
| State | Published - 26 May 2017 |
| Event | 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, United Arab Emirates Duration: 4 Apr 2017 → 6 Apr 2017 |
Publication series
| Name | 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 |
|---|
Conference
| Conference | 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Sharjah |
| Period | 4/04/17 → 6/04/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy management
- Extended range electric vehicle
- Hybrid energy storage system
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