Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 104534 |
| Fachzeitschrift | Control Engineering Practice |
| Jahrgang | 102 |
| Frühes Online-Datum | 8 Juli 2020 |
| Publikationsstatus | Veröffentlicht - Sept. 2020 |
Abstract
In this work, the problem of online energy management of hybrid electric vehicles is addressed. A least costly objective function accounting for battery energy consumption and aging, and for the auxiliary power unit fuel consumption and noise emissions is considered. In this scenario, all the cost terms are expressed as monetary variables. This allows to assess the economic effectiveness of the proposed hybrid powertrain solution. Therefore, the online energy management policy is computed relying on the economic model predictive control framework. Some dissipativity properties for steady-state and periodic operation of the system under investigation are proved. Therefore, some results for close to optimum convergence of the economic model predictive control are provided. An electric bus case-study is illustrated in detail to show the performance of the proposed online management strategy.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Angewandte Informatik
Ziele für nachhaltige Entwicklung
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in: Control Engineering Practice, Jahrgang 102, 104534, 09.2020.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Economic MPC for online least costly energy management of hybrid electric vehicles
AU - Pozzato, Gabriele
AU - Müller, Matthias
AU - Formentin, Simone
AU - Savaresi, Sergio M.
N1 - Funding information: This work was partially sponsored by Steyr Motors GmbH, Germany and the Linz Center of Mechatronics (LCM), Austria .
PY - 2020/9
Y1 - 2020/9
N2 - In this work, the problem of online energy management of hybrid electric vehicles is addressed. A least costly objective function accounting for battery energy consumption and aging, and for the auxiliary power unit fuel consumption and noise emissions is considered. In this scenario, all the cost terms are expressed as monetary variables. This allows to assess the economic effectiveness of the proposed hybrid powertrain solution. Therefore, the online energy management policy is computed relying on the economic model predictive control framework. Some dissipativity properties for steady-state and periodic operation of the system under investigation are proved. Therefore, some results for close to optimum convergence of the economic model predictive control are provided. An electric bus case-study is illustrated in detail to show the performance of the proposed online management strategy.
AB - In this work, the problem of online energy management of hybrid electric vehicles is addressed. A least costly objective function accounting for battery energy consumption and aging, and for the auxiliary power unit fuel consumption and noise emissions is considered. In this scenario, all the cost terms are expressed as monetary variables. This allows to assess the economic effectiveness of the proposed hybrid powertrain solution. Therefore, the online energy management policy is computed relying on the economic model predictive control framework. Some dissipativity properties for steady-state and periodic operation of the system under investigation are proved. Therefore, some results for close to optimum convergence of the economic model predictive control are provided. An electric bus case-study is illustrated in detail to show the performance of the proposed online management strategy.
KW - Differential inclusions
KW - Dissipativity
KW - Economic model predictive control
KW - Energy management
KW - Hybrid electric vehicle
UR - http://www.scopus.com/inward/record.url?scp=85087504239&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2020.104534
DO - 10.1016/j.conengprac.2020.104534
M3 - Article
VL - 102
JO - Control Engineering Practice
JF - Control Engineering Practice
SN - 0967-0661
M1 - 104534
ER -