Reliability redundancy allocation for hybrid electric vehicle using hybrid particle swarm Grey Wolf optimizer

Anchal Dhillon; S Shagun; Yashi Tyagi; Ashok Singh Bhandari; Akshay Kumar; Mangey Ram

Anchal Dhillon Department of Mathematics, Graphic Era Hill University, Dehradun, India.
S Shagun Department of Mathematics, Graphic Era Hill University, Dehradun, India.
Yashi Tyagi Department of Mathematics, Graphic Era Hill University, Dehradun, India.
Ashok Singh Bhandari Department of Mathematics, Graphic Era Hill University, Dehradun, India.; Department of Mathematics, Graphic Era Deemed to be University, Dehradun, India.
Akshay Kumar
Mangey Ram Department of Mathematics, Graphic Era Deemed to be University, Dehradun, India.; Institute of Advanced Manufacturing Technologies, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russiaa.

Abstract

Reliability Redundancy Allocation Problem (RRAP) plays a very major role in reliability improvement and designing of any structure which depends on arrangement of components, reliability allocation for the components, redundancy allocation for the components. In this work, a hybrid electric vehicle (HEV) is considered for RRAP. The non-linear mixed integer programming problem is optimized using the metaheuristic named HPSGWO. The HPSGWO fuses the Particle Swarm Optimization’s (PSO) exploitation ability with the grey wolf optimizer’s (GWO) exploration ability. The mathematical model calculates the maximum achievable reliability for HEV, by the implementation of the HPSGWO while the volume and weight are set as per the available resources.