Comparison between different energy management algorithms for an urban electric bus with hybrid energy storage system based on battery and supercapacitors. (2016)

• Record Type: Journal Article
• Authors: Arrigoni, Stefano; Tarsitano, Davide; Cheli, Federico
• Is Part Of: International journal of heavy vehicle systems. Volume 23:Number 2(2016)
• Page Start: 171
• Page End: 189
• Publication Date: 2016
• Subjects: energy management algorithms -- fuzzy logic -- heuristics -- dynamic programming -- hybrid storage systems -- supercapacitors -- urban buses -- electric buses -- hybrid energy storage -- batteries -- urban transport -- electric vehicles -- backup energy sources -- real-time control -- simulation; Motor vehicles -- Design and construction -- Periodicals; Commercial vehicles -- Design and construction -- Periodicals; Motor vehicles -- Design and construction; Periodicals; 629.224
• Languages: English
• ISSNs: 1744-232X

Abstract

Electric vehicles are an interesting research field for the automotive industry, especially for fully electrical urban buses. Their particular path-defined frequent and consecutive stops close together encourage the usage of supercapacitors, which have a longer service life than rechargeable batteries, and the battery would only be used as a backup energy source. This means a hybrid energy system where an energy management function splits the power request between the two onboard energy storage systems. Two different real-time control algorithms previously developed are briefly presented and numerically tested by means of virtual simulation in order to compare their different behaviour and evaluate their performance compared to an optimal offline control logic based on the dynamic programming approach.