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arXiv · 2502.04024

A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty

Trung Duc Tran·Ngoc-Doanh Nguyen·Hong T. M. Chu·Laurent El Ghaoui·Luca Ambrosino·Giuseppe Calafiore
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Abstract

In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By combining elements from traditional cost-minimization models and a fast charging objective, we construct an optimization model that balances user costs with rapid power allocation. Additionally, we incorporate L2-norm uncertainty into the charging cost, ensuring that the model remains resilient under cost fluctuations. The proposed model is tested under real-world scenarios and demonstrates its potential for efficient and flexible EV charging solutions.

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Trung Duc Tran, Ngoc-Doanh Nguyen, Hong T. M. Chu, Laurent El Ghaoui, Luca Ambrosino, Giuseppe Calafiore. 2025-02-06. A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty. https://arxiv.org/abs/2502.04024

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