Application of the Fuel-Optimal Energy Management in Design Study of a Parallel Hybrid Electric Vehicle
Author(s) -
Afshin Pedram Pourhashemi,
Sepideh Movahed,
Masoud Shariat Panahi
Publication year - 2014
Publication title -
journal of fuels
Language(s) - English
Resource type - Journals
eISSN - 2356-7392
pISSN - 2314-601X
DOI - 10.1155/2014/417172
Subject(s) - sizing , optimal design , energy management , fuel efficiency , sustenance , computer science , variety (cybernetics) , key (lock) , sensitivity (control systems) , energy consumption , industrial engineering , energy (signal processing) , systems engineering , automotive engineering , engineering , artificial intelligence , art , statistics , mathematics , computer security , electrical engineering , machine learning , law , political science , visual arts , electronic engineering
In spite of occasional criticism they have attracted, hybrid vehicles (HVs) have been warmly welcomed by industry and academia alike. The key advantages of an HV, including fuel economy and environment friendliness, however, depend greatly on its energy management strategy and the way its design parameters are “tuned.” The optimal design and sizing of the HV remain a challenge for the engineering community, due to the variety of criteria and especially dynamic measures related to nature of its working conditions. This paper proposes an optimal design scheme that begins with presenting an energy management strategy based on minimum fuel consumption in finite driving cycle horizon. The strategy utilizes a dynamic programming approach and is consistent with charge sustenance. The sensitivity of the vehicle’s performance metrics to multiple design parameters is then studied using a design of experiments (DOE) methodology. The proposed scheme provides the designer with a reliable tool for investigating various design scenarios and achieving the optimal one
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