Online Energy Management for Bidirectional EV Charging with Rooftop PV: An Aging-Aware MPC Approach
Francesco Popolizio, Albert \v{S}kegro, Torsten Wik, Chih Feng Lee, Changfu Zou

TL;DR
This paper presents an online, aging-aware MPC strategy for EV, household, and grid energy management that leverages V2G and V2H to optimize costs, increase self-consumption, and account for battery aging.
Contribution
It introduces a detailed battery aging model and Transformer-based load and irradiance forecasting into an MPC framework for EV-grid-home energy optimization.
Findings
Adding PV increases annual profit by EUR 1060.7.
Bidirectional operation yields up to EUR 2410.5 economic gain.
Benefits persist across various scenarios, with minimal battery degradation increase.
Abstract
This paper investigates the economic impact of vehicle-home-grid integration in the presence of rooftop PV, by proposing an online, aging-aware energy management strategy for an electric vehicle (EV), a household, and the electrical grid. The model predictive control-based framework explicitly exploits vehicle-to-grid (V2G) and vehicle-to-home (V2H) operation to perform energy arbitrage, increase self-consumption, while respecting user-driven driving requirements. The framework optimizes power flows over a shrinking horizon using a detailed battery aging model that captures both calendar and cycle degradation, and a Transformer-based forecaster that provides short-term predictions of household load and solar irradiance. For a one-year horizon, the proposed strategy yields the lowest annual cost among all evaluated strategies. Adding PV increases the annual profit by EUR 1060.7 compared…
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