Title of article :
Combination of Markov chain and optimal control solved by Pontryagin’s Minimum Principle for a fuel cell/supercapacitor vehicle
Author/Authors :
Stephen R. and Hemi، نويسنده , , Hanane and Ghouili، نويسنده , , Jamel and Cheriti، نويسنده , , Ahmed، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2015
Pages :
7
From page :
387
To page :
393
Abstract :
In this article, a real time optimal control strategy based on Pontryagin’s Minimum Principle (PMP) combined with the Markov chain approach is used for a fuel cell/supercapacitor electrical vehicle. In real time, at high power and at high speed, two phenomena are observed. The first is obtained at higher required power, and the second is observed at sudden power demand. To avoid these situations, the Markov chain model is proposed to predict the future power demand during a driving cycle. The optimal control problem is formulated as an equivalent consumption minimization strategy (ECMS), that has to be solved by using the Pontryagin’s Minimum Principle. A Markov chain model is added as a separate block for a prediction of required power. This approach and the whole system are modeled and implemented using the MATLAB/Simulink. The model without Markov chain block and the model is with it are compared. The results presented demonstrate the importance of a Markov chain block added to a model.
Keywords :
optimal control , PMP , Markov chain , Supercapacitor , Fuel cell , Electrical vehicle
Journal title :
Energy Conversion and Management
Serial Year :
2015
Journal title :
Energy Conversion and Management
Record number :
2339120
Link To Document :
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