Maria Chiara Di Guardo

An MPC-based Energy Management System for a Hybrid Electric Vehicle

Serpi A;Porru M
2020-01-01

Abstract

A real-time Energy Management System (EMS) is presented in this paper, which aims at minimizing the operating costs of a Hybrid Electric Vehicle (HEV) equipped with different energy storage units (fuel cell, supercapacitors, batteries). The proposed EMS manages all HEV operating constraints properly through a Model Predictive Control (MPC) approach, which identifies the allowable ranges of each variable based on system modelling and actual HEV operating conditions. The optimization is then carried out by means of suitable look-up tables, which are accessed in accordance with the variable ranges previously computed. The effectiveness of the proposed MPC-based EMS is verified through numerical simulations, which also regard a rule-based EMS for comparison purposes.
2020
Inglese
2020 IEEE Vehicular Power and Propulsion Conference (VPPC 2020) : proceedings
978-1-7281-8959-8
978-1-7281-8958-1
Institute of Electrical and Electronics Engineers Inc.
6
2020 IEEE Vehicular Power and Propulsion Conference (VPPC 2020)
Contributo
Esperti anonimi
Nov. 18-Dec. 16, 2020
Gijon (Spain), Virtual conference
internazionale
scientifica
Batteries; Cost function; Electric vehicle; Energy management; Fuel cells; Optimization; Predictive control; Supercapacitors
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Serpi, A; Porru, M
273
2
4.1 Contributo in Atti di convegno
partially_open
info:eu-repo/semantics/conferencePaper
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