Open source algorithms for maximizing V2G flexibility based on model predictive control

Cesar Diaz-Londono

doi:10.1016/j.epsr.2025.112082

Open source algorithms for maximizing V2G flexibility based on model predictive control

2025-08-20

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Cesar Diaz-Londono

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Stavros Orfanoudakis *

DOI：10.1016/j.epsr.2025.112082

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• Flexible open-source MPC framework for evaluating diverse smart charging scenarios. • Economic MPC for real-time smart charging under demand-response uncertainty. • OCMF enables flexibility and profitability for heterogeneous EV and charger setups. • Quantified the impact of smart charging on EV long-term battery degradation.

Keywords:

Electric vehicles (EVs)

Smart charging

Battery degradation

Vehicle-to-Grid (V2G)

Model predictive control (MPC)

Open source algorithms for maximizing V2G flexibility based on model predictive control

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