Fuel Economy and Emission Minimization of Hybrid Electric Vehicle using Improved COOT Bird Optimization Algorithm

Abstract

The issue of pollution stemming from transportation systems, notably passenger vehicles, poses a substantial threat to both society and the environment. Therefore, it is essential to investigate methods to reduce vehicle pollution and enhance fuel efficiency. Well-engineered Hybrid Electric Vehicles (HEVs) may outperform traditional automobiles in terms of reliability and performance, presenting a more environmentally advantageous solution for mitigating harmful emissions. This article presents the optimization of HEV, considering Fuel economy and reduction of emission. The works aims studies the emission and economical aspects of a Hybrid Medium Commercial Vehicle (MCV), specifically for India vehicles. Herein, experiments are conducted on a three different IC engine to record the emission factors. The optimization is based on Improved COOT bird algorithm (ICBO), and this happens to be a combination of COOT bird Optimization (CBO) and Particle Swarm Optimization (PSO). The problem is treated as multi-objective optimization problem. The proposed ICBO is applied to minimize emission and fuel consumption cost of HEV. The final outcomes of the proposed approach are analyzed with other conventional and intelligent techniques for validating the superiority of devised algorithm.