Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation

Andras Mihaly, P. Gáspár, Hakan Basargan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper deals with energy optimal control allocation of an in-wheel electric vehicle with autonomous trajectory tracking. The proposed method is based on both high-level control allocation between steering intervention and torque vectoring minimizing cornering resistance of the vehicle, and a low-level multi-criteria torque distribution method considering power consumption of the electric in-wheel motors. The aim of the design is to enhance battery state-of-charge (SOC), extending the range of the electric vehicle. The reconfiguration control design is founded on Linear Parameter Varying (LPV) framework, while the wheel torque distribution is calculated using constrained optimization techniques. The operation of the energy optimal reconfiguration control is demonstrated in CarSim simulation environment with a detailed battery and electric motor model.

Original languageEnglish
Title of host publication2019 18th European Control Conference, ECC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-255
Number of pages6
ISBN (Electronic)9783907144008
DOIs
Publication statusPublished - Jun 1 2019
Event18th European Control Conference, ECC 2019 - Naples, Italy
Duration: Jun 25 2019Jun 28 2019

Publication series

Name2019 18th European Control Conference, ECC 2019

Conference

Conference18th European Control Conference, ECC 2019
CountryItaly
CityNaples
Period6/25/196/28/19

Fingerprint

electric automobiles
vehicle wheels
Electric automobiles
Vehicle wheels
Charging (batteries)
Traction motors
storage batteries
Electric Vehicle
Secondary batteries
Constrained optimization
optimal control
Constrained Optimization
wheels
Electric power distribution
Battery
Wheel
Torque
electric batteries
torque
Wheels

ASJC Scopus subject areas

  • Instrumentation
  • Control and Optimization

Cite this

Mihaly, A., Gáspár, P., & Basargan, H. (2019). Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. In 2019 18th European Control Conference, ECC 2019 (pp. 250-255). [8796288] (2019 18th European Control Conference, ECC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ECC.2019.8796288

Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. / Mihaly, Andras; Gáspár, P.; Basargan, Hakan.

2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 250-255 8796288 (2019 18th European Control Conference, ECC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mihaly, A, Gáspár, P & Basargan, H 2019, Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. in 2019 18th European Control Conference, ECC 2019., 8796288, 2019 18th European Control Conference, ECC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 250-255, 18th European Control Conference, ECC 2019, Naples, Italy, 6/25/19. https://doi.org/10.23919/ECC.2019.8796288
Mihaly A, Gáspár P, Basargan H. Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. In 2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 250-255. 8796288. (2019 18th European Control Conference, ECC 2019). https://doi.org/10.23919/ECC.2019.8796288
Mihaly, Andras ; Gáspár, P. ; Basargan, Hakan. / Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. 2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 250-255 (2019 18th European Control Conference, ECC 2019).
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