Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV

• المؤلفون الرئيسيون: Muhammad Fadhlan, Afif Bin Nazri, Muhammad Ikram, Mohd Rashid, Mohd Rashid
• التنسيق: فصل الكتاب
• اللغة: English; English; English
• منشور في: Springer Singapore 2018
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering; TL Motor vehicles. Aeronautics. Astronautics
• الوصول للمادة أونلاين: http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf; http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf; http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf; http://umpir.ump.edu.my/id/eprint/22666/; https://link.springer.com/chapter/10.1007/978-981-13-3708-6_31

This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain is controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization.