Electrical vehicles charging: an optimal control approach via Pontryagin's Maximum Principle
Paper i proceeding, 2025

This study provides a semi-analytical solution to the charging optimization problem for electric vehicles, using Pontryagin's Maximum Principle (PMP) to derive explicit expressions for optimal control and costate trajectories. Such expressions enable much faster trajectory computation than numerical optimization, making this method suitable for larger trip-planning problems. In addition, these explicit expressions reveal the fundamental structure of the optimal solution and how all the parameters and variables affect it, leading to more interpretable results and deeper theoretical insights than fully numerical or black-box methods allow. The method nearly eliminates online computation, while having an average difference with a benchmark solution of about 2.74%.

optimal control

subgradient optimization

PMP

electromobility

Författare

Lorenzo Montalto

Chalmers, Elektroteknik, System- och reglerteknik

Nikolce Murgovski

Chalmers, Elektroteknik

Jonas Fredriksson

Chalmers, Elektroteknik, System- och reglerteknik

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

21530009 (ISSN) 21530017 (eISSN)

28th IEEE International Conference on Intelligent Transportation Systems, ITSC 2025
Gold Coast, Australia,

Charging and trip planning of electric vehicles (CHARGE)

Statens Väg- och Transportforskningsinstitut (VTI), 2023-01-01 -- 2026-12-31.

Volvo Cars, 2023-01-01 -- 2026-12-31.

Swedish Electromobility Centre, 2023-01-01 -- 2026-12-31.

Chalmers, 2023-01-01 -- 2026-12-31.

China-Euro Vehicle Technology (CEVT) AB, 2023-01-01 -- 2026-12-31.

Eon SE, 2023-01-01 -- 2026-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Transport

Energi

Drivkrafter

Hållbar utveckling

Ämneskategorier (SSIF 2025)

Reglerteknik

Elektroteknik och elektronik

Mer information

Senast uppdaterat

2026-02-09