Abstract
The powertrain control strategy and the components sizing significantly affect the vehicle performance, cost and fuel economy. This paper presents a developed control strategy for optimizing the power sharing between sources and components sizing by using particle swarm optimization (PSO) algorithm. PSO method is a member of the wide category of Swarm Intelligence methods (SI). This control strategy implemented on Fuel cell/Battery hybrid electric vehicle with the aim to achieve the best performance with minimum fuel consumption and minimum powertrain components sizing for a given driving cycle. The powertrain and the proposed control strategy have been simulated by MATLAB/SIMULINK. The simulation results have demonstrated that the optimal sizing of the powertrain of Fuel cell/battery components and the minimum fuel consumption have been improved by applying the PSO control strategy (EVS25 Copyright).
| Original language | English |
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| Title of host publication | The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, International Conference 2010 |
| Publication status | Published - 7 Nov 2010 |
| Event | Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden Duration: 21 Sep 2009 → 25 Sep 2009 |
Conference
| Conference | Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet |
|---|---|
| Country/Territory | Sweden |
| City | Stockholm |
| Period | 21/09/09 → 25/09/09 |
Keywords
- Fuel cell Hybrid Electric Vehicle (FCHEV)
- Powertrain Modeling
- Fuel cell Model, Battery Model
- PSO Algorithm
- Control Strategies