A methodology and a tool for evaluating hybrid electric powertrain configurations. (28th November 2011)

• Record Type: Journal Article
• Authors: Murgovski, Nikolce; Sj?berg, Jonas; Fredriksson, Jonas
• Is Part Of: International journal of electric and hybrid vehicles. Volume 3:Number 3(2011)
• Page Start: 219
• Page End: 245
• Publication Date: 2011-11-28
• Subjects: hybrid electric vehicles -- HEVs -- power management -- optimal control -- non-transparent modelling -- black-box models -- powertrain sizing -- model simplification -- static map -- steady-state detection -- hybrid electric powertrains -- dynamic vehicle modelling -- driving cycle -- optimisation -- fuel consumption; Electric vehicles -- Periodicals; 629.229305
• Languages: English
• ISSNs: 1751-4088

Abstract

This paper describes a methodology for automatic optimisation of hybrid electric powertrains. This methodology is developed and implemented in a tool, CAPSimO, and the paper is written in the form of describing the tool. Given the user inputs, which are dynamic vehicle model, driving cycle and optimisation criterion, the tool first produces a simplified powertrain model in a form of static maps, before dynamic programming is used to find an optimal power split which minimises the chosen criterion. The tool does not require that the vehicle model is transparent, which makes it possible to work on models hidden for intellectual property reasons. The paper presents two examples of powertrain evaluation, in terms of fuel consumption, for a parallel and a parallel-series powertrain.