Range maximisation of electric vehicles through active cell balancing using reachability analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Due to internal differences between cells inside a battery pack, active cell balancing during discharging potentially leads to an extension of the range of electric vehicles. This paper poses range maximisation of electric vehicles as a reachability problem. It is solved by converting this reachability problem into a feasibility problem for a given range. This leads to a large-scale nonlinear feasibility/optimisation problem, which we propose to solve using sequential linearisation of the dynamics and a dual decomposition. This method provides the necessary balancing currents to extend and maximise the range of the vehicle, if the drive cycle, and the model parameters and states are completely known. This result shows the maximum potential for range maximisation through active balancing and can serve as a benchmark for evaluating controllers which are applicable in real-time.
LanguageEnglish
Title of host publicationProc American Control Conference
Pages1567-1572
Number of pages6
ISBN (Electronic)978-1-5386-7926-5
StatePublished - 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019
http://acc2019.a2c2.org

Conference

Conference2019 American Control Conference, ACC 2019
Abbreviated titleACC2019
CountryUnited States
CityPhiladelphia
Period10/07/1912/07/19
Internet address

Fingerprint

Electric vehicles
Linearization
Decomposition
Controllers

Cite this

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title = "Range maximisation of electric vehicles through active cell balancing using reachability analysis",
abstract = "Due to internal differences between cells inside a battery pack, active cell balancing during discharging potentially leads to an extension of the range of electric vehicles. This paper poses range maximisation of electric vehicles as a reachability problem. It is solved by converting this reachability problem into a feasibility problem for a given range. This leads to a large-scale nonlinear feasibility/optimisation problem, which we propose to solve using sequential linearisation of the dynamics and a dual decomposition. This method provides the necessary balancing currents to extend and maximise the range of the vehicle, if the drive cycle, and the model parameters and states are completely known. This result shows the maximum potential for range maximisation through active balancing and can serve as a benchmark for evaluating controllers which are applicable in real-time.",
author = "F.S.J. Hoekstra and H.J. Bergveld and M.C.F. Donkers",
year = "2019",
language = "English",
pages = "1567--1572",
booktitle = "Proc American Control Conference",

}

Hoekstra, FSJ, Bergveld, HJ & Donkers, MCF 2019, Range maximisation of electric vehicles through active cell balancing using reachability analysis. in Proc American Control Conference. pp. 1567-1572, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 10/07/19.

Range maximisation of electric vehicles through active cell balancing using reachability analysis. / Hoekstra, F.S.J.; Bergveld, H.J.; Donkers, M.C.F.

Proc American Control Conference. 2019. p. 1567-1572.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Range maximisation of electric vehicles through active cell balancing using reachability analysis

AU - Hoekstra,F.S.J.

AU - Bergveld,H.J.

AU - Donkers,M.C.F.

PY - 2019

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N2 - Due to internal differences between cells inside a battery pack, active cell balancing during discharging potentially leads to an extension of the range of electric vehicles. This paper poses range maximisation of electric vehicles as a reachability problem. It is solved by converting this reachability problem into a feasibility problem for a given range. This leads to a large-scale nonlinear feasibility/optimisation problem, which we propose to solve using sequential linearisation of the dynamics and a dual decomposition. This method provides the necessary balancing currents to extend and maximise the range of the vehicle, if the drive cycle, and the model parameters and states are completely known. This result shows the maximum potential for range maximisation through active balancing and can serve as a benchmark for evaluating controllers which are applicable in real-time.

AB - Due to internal differences between cells inside a battery pack, active cell balancing during discharging potentially leads to an extension of the range of electric vehicles. This paper poses range maximisation of electric vehicles as a reachability problem. It is solved by converting this reachability problem into a feasibility problem for a given range. This leads to a large-scale nonlinear feasibility/optimisation problem, which we propose to solve using sequential linearisation of the dynamics and a dual decomposition. This method provides the necessary balancing currents to extend and maximise the range of the vehicle, if the drive cycle, and the model parameters and states are completely known. This result shows the maximum potential for range maximisation through active balancing and can serve as a benchmark for evaluating controllers which are applicable in real-time.

M3 - Conference contribution

SP - 1567

EP - 1572

BT - Proc American Control Conference

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