Abstract
This paper presents the details of an optimization method for the solar car's speed and battery management. The optimization method is demonstrated for the World Solar Challenge along a 3000km from Darwin to Adelaide, Australia. The optimization can be performed at any time during the race based on the current location, time, and battery status. The method predicts the required car speeds between the road land marks, taking into consideration the mandatory stops. The optimization includes the terrain inclination, the car rolling resistance and aerodynamic resistance, and predicts available solar energy as function of position and time.
| Original language | English |
|---|---|
| Title of host publication | 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 751-756 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509012916 |
| DOIs | |
| State | Published - 18 May 2016 |
Publication series
| Name | 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016 |
|---|
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery management
- Dynamic model
- Optimization
- Solar car
- Solar energy
- World solar challenge
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Energy Engineering and Power Technology
- Control and Optimization
- Computer Networks and Communications
- Instrumentation
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