Optimization of Fuel Cell Hybrid System Configuration via Modified Multi-Objective Particle Swarm Algorithm

• Published in: 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) pp. 499 - 503
• Main Authors: Liu, Yingfang, Sun, Zhendong, Chen, Zonghai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.07.2024
• Subjects: configuration optimisation; Convergence; Costs; Energy management; fuel cell hybrid power systems; Fuel cells; Manufacturing; Mechanical power transmission; MOPSO based on competitive mechanisms; Optimization; Particle swarm optimization; Resource management; Systems simulation

This paper presents a novel approach to the capacity allocation problem in fuel cell hybrid vehicles. It introduces a multi-objective evolutionary algorithm nested Dynamic Programming (DP) strategy aimed at minimizing both manufacturing and operating costs. The outer loop employs a fast-converging M...