Owing to increasing emission specifi cation, decreasing price of energy storage systems and power electronic devices, in addition to fast-developing technology, Electric Vehicles (EVs) will become a signifi cant share of automotive market in the near future [1]. Therefore, there is a huge competition among car manufacturers to produce EVs. The fi nal price and driving range are known as vital factors to win the competition. For this purpose, e-powertrain of EVs should be effi ciently designed and managed to maximize the driving range [2,3] while the total costs (including implementation, operation, maintenance and replacements) be minimized [4]. A complex multi-objective dynamic Mixed-Integer Nonlinear Programming (MINLP) optimization problem [5-11] needs to be solved to achieve this goal. The major reason of the complexity lies in the hybridization of EVs with different types of power sources [12-17] e.g.
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