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dc.contributor.author
Duhr, Pol
dc.contributor.author
Schaller, Maximilian
dc.contributor.author
Arzilli, Luca
dc.contributor.author
Cerofolini, Alberto
dc.contributor.author
Onder, Christopher H.
dc.date.accessioned
2022-01-05T10:39:06Z
dc.date.available
2021-12-20T16:30:02Z
dc.date.available
2022-01-05T10:39:06Z
dc.date.issued
2021-09-15
dc.identifier.uri
http://hdl.handle.net/20.500.11850/521596
dc.description.abstract
Contemporary Formula 1 racing cars feature a high-performance hybrid-electric powertrain. Beside the fuel tank, the battery is a second on board energy storage. The energy management strategy in terms of battery deployment must be carefully optimized in order to minimize the lap time on a given race circuit. In particular, the finite size of the battery must be taken into account, since the electric boosting and recuperation capabilities of the powertrain are restricted when the battery is depleted and fully charged, respectively. So far, this problem has scarcely been investigated in a time-optimal racing context. Using a previously developed convex optimization framework, we study the optimal solution to the energy management problem when either the lower or the upper bound on the battery state-of-charge is attained. First, we show that the operating strategy differs substantially for these two cases: Whilst it is optimal to hit the upper bound only in one particular time instant and then discharge the battery again, it can be kept at the lower bound for prolonged sections of the lap. We highlight that these differences are related to the interaction between the two electric motor-generator units of the powertrain. Second, based on Pontryagin’s minimum principle, we analyze the trajectory of the costate variable associated with the battery energy, which in such scenarios is crucial for the parameterization of an optimal control policy. The results underline the importance of correctly considering the cross-couplings between the battery deployment and the limit on electric recuperation imposed by the technical regulations.
en_US
dc.language.iso
en
en_US
dc.title
Analysis of optimal energy management strategies for the hybrid electric Formula 1 car under consideration of the finite battery size
en_US
dc.type
Other Conference Item
ethz.event
38th FISITA 2021 World Congress
en_US
ethz.event.location
Online
en_US
ethz.event.date
September 14-17, 2021
en_US
ethz.notes
Conference lecture held on September 15, 2021.
en_US
ethz.publication.status
unpublished
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino (emeritus) / Guzzella, Lino (emeritus)::08840 - Onder, Christopher (Tit.-Prof.)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino (emeritus) / Guzzella, Lino (emeritus)::08840 - Onder, Christopher (Tit.-Prof.)
en_US
ethz.date.deposited
2021-12-20T16:30:07Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-01-05T10:39:13Z
ethz.rosetta.lastUpdated
2023-02-06T23:46:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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