Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms

Severino B; Gana, F; Palma Behnke R.; Estevez P.; Calderón W.; Orchard M.; Cortes, M; Reyes, J

Abstract

Lithium-battery energy storage systems (LiBESS) are increasingly being used on electric mobility and stationary applications. Despite its increasing use and improvements of the technology there are still challenges associated with cost reduction, increasing lifetime and capacity, and higher safety. A correct battery thermal management system (BTMS) design is critical to achieve these goals. In this paper, a general framework for obtaining optimal BTMS designs is proposed. Due to the trade-off between the BTMS's design goals and the complex modeling of thermal response inside the battery pack, this paper proposes to solve this problem using a novel Multi-Objective Particle Swarm Optimization (MOPSO) approach. A theoretical case of a module with 6 cells and a real case of a pack used in a Solar Race Car are presented. The results show the capabilities of the proposal methodology, in which improved designs for battery packs are obtained. (C) 2014 Elsevier B.V. All rights reserved.

Más información

Título según WOS: Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
Título según SCOPUS: Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
Título de la Revista: JOURNAL OF POWER SOURCES
Volumen: 267
Número: 1
Editorial: Elsevier
Fecha de publicación: 2014
Página de inicio: 288
Página final: 299
URL: 10.1016/j.jpowsour.2014.05.088
DOI:

10.1016/j.jpowsour.2014.05.088

Notas: ISI, SCOPUS - ISI