Abstract
Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.
| Original language | English |
|---|---|
| Title of host publication | 2015 10th International Conference on Ecological Vehicles and Renewable Energies, EVER 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467367844 |
| DOIs | |
| State | Published - 11 Jun 2015 |
| Event | 10th International Conference on Ecological Vehicles and Renewable Energies, EVER 2015 - Monte-Carlo, Monaco Duration: 31 Mar 2015 → 2 Apr 2015 |
Publication series
| Name | 2015 10th International Conference on Ecological Vehicles and Renewable Energies, EVER 2015 |
|---|
Conference
| Conference | 10th International Conference on Ecological Vehicles and Renewable Energies, EVER 2015 |
|---|---|
| Country/Territory | Monaco |
| City | Monte-Carlo |
| Period | 31/03/15 → 2/04/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cooling systems
- Electric vehicles
- Fuzzy control
- Thermal management
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