Limiting discharge cycles numbers for plug-in electric vehicles in bidirectional smart charging algorithm

Reza Razi (1) , Khaled Hajar (1) , Majid Mehrasa (2) , Antoine Labonne (2) , Ahmad Hably (1) , Seddik Bacha (3)

1 GIPSA-COPERNIC - GIPSA - COntrol, PErception, Robots, navigation and Intelligent Computing
2 G2Elab-EP - G2Elab-Electronique de puissance
3 G2ELab - Laboratoire de Génie Electrique de Grenoble

This fact has been obviously proven in the literature that the battery life is inversely related to the number of discharge cycles. However, these days, the bidirectional smart charging scenario of plug-in electric vehicles (PEVs) has become a hot trend, using them as a storage source at peak load or price. Therefore, this paper aims to present a simple and novel technique in MPCbased linear programming for limiting the number of discharge cycles of PEV. In this regard, a specified number of cycles is defined by the user such that the predictive algorithm tries to use these cycles in the most optimal way. In this paper, first, the effect of the discharging cycle on the battery life available in the literature is presented. Then, the PV-assisted charging station configuration and desired optimization algorithm are introduced. Following, the main novelty of this work, i.e. a linear technique for limiting the number of discharging cycles will be described. Finally, the simulation results are provided to validate the performance of the proposed method.

Mots clés: Battery degradation; Discharge cycles; Model predictive control; Plug-in electric vehicles; Smart charging

Domaines: Automatique / Robotique; Energie électrique

Reza Razi, Khaled Hajar, Majid Mehrasa, Antoine Labonne, Ahmad Hably, et al.. Limiting discharge cycles numbers for plug-in electric vehicles in bidirectional smart charging algorithm. IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society (IES), Oct 2021, Toronto (virtual ), Canada. ⟨10.1109/IECON48115.2021.9589844⟩. ⟨hal-03410199⟩