Electrical vehicles charging: an optimal control approach via Pontryagin's Maximum Principle
Paper in 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

Author

Lorenzo Montalto

Chalmers, Electrical Engineering, Systems and control

Nikolce Murgovski

Chalmers, Electrical Engineering

Jonas Fredriksson

Chalmers, Electrical Engineering, Systems and control

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)

The Swedish National Road and Transport Research Institute (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.

Areas of Advance

Information and Communication Technology

Transport

Energy

Driving Forces

Sustainable development

Subject Categories (SSIF 2025)

Control Engineering

Electrical Engineering, Electronic Engineering, Information Engineering

More information

Latest update

2/9/2026 7