University of Cagliari
partially_open
Maurizio Murroni
A rule-based energy management algorithm for a fuel cell/battery all-wheel drive vehicle
Mario Porru;Alessandro Serpi
2023-01-01
Abstract
An Energy Management Algorithm (EMA) for an All-Wheel Drive (AWD) vehicle is presented in this paper. It consists of a torque vectoring algorithm and a rule-based energy management system for a three-motor fuel cell/battery hybrid road vehicle, which have been developed based on system modelling, operating constraints, and optimisation problem formulation given by the IEEE VTS Motor Vehicle Challenge 2023 (MVC2023). Particularly, the proposed EMA aims at minimising a given cost function, with particular reference to motor and battery losses to extend vehicle driving range at the maximum extent. The proposed EMA is validated through numeric simulations in MATLAB-Simulink, scoring better performances compared to the base EMA provided by the MVC2023.
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| P117_2023_VPPC_MVC_IEEE_paper.pdf Solo gestori archivio
Description: IEEE paper
Type: versione editoriale
Size 1.31 MB
Format Adobe PDF
|
1.31 MB | Adobe PDF | & nbsp; View / Open Request a copy |
| P117_2023_VPPC_MVC_Iris.pdf open access
Description: AAM
Type: Author’s Accepted Manuscript AAM, Post-print, (version accepted by the publisher)
Size 1.34 MB
Format Adobe PDF
|
1.34 MB | Adobe PDF | View/Open |
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