TY - JOUR
T1 - Energy Management for EV Owners in V2H
T2 - 1st IFAC Workshop on Smart Energy System for Efficient and Sustainable Smart Grids and Smart Cities, SENSYS 2025
AU - Gelvez, Diego
AU - Diaz-Londono, Cesar
AU - Agundis Tinajero, Gibran David
AU - Vuelvas, José
AU - Guerrero, Josep M.
N1 - Publisher Copyright:
© 2025 The Authors. This is an open access article under the CC BY-NC-ND license.
PY - 2025/9/15
Y1 - 2025/9/15
N2 - The transition to electric mobility is recognized as a critical strategy for reducing greenhouse gas emissions in the transportation sector. However, EV adoption poses challenges related to increased electricity demand and grid stability. Vehicle-to-home (V2H) systems, which enable bidirectional energy exchange between EVs and household energy networks, have emerged as a promising solution to optimize energy consumption and enhance the integration of renewable energy sources. In this way, this paper presents a characterization and classification of EV usage behavior tailored to the Colombian context. This characterization defines parameters for daily driving patterns and charger availability to maximize the use of EV battery capacity in a V2H scheme. Building upon this analysis, a mixed-integer linear optimization model is developed to maximize the economic benefits for EV owners when utilizing V2H to meet the household energy demand. The model is evaluated in two scenarios: one with systematic users and another with unsystematic users, both incorporating renewable energy resources.
AB - The transition to electric mobility is recognized as a critical strategy for reducing greenhouse gas emissions in the transportation sector. However, EV adoption poses challenges related to increased electricity demand and grid stability. Vehicle-to-home (V2H) systems, which enable bidirectional energy exchange between EVs and household energy networks, have emerged as a promising solution to optimize energy consumption and enhance the integration of renewable energy sources. In this way, this paper presents a characterization and classification of EV usage behavior tailored to the Colombian context. This characterization defines parameters for daily driving patterns and charger availability to maximize the use of EV battery capacity in a V2H scheme. Building upon this analysis, a mixed-integer linear optimization model is developed to maximize the economic benefits for EV owners when utilizing V2H to meet the household energy demand. The model is evaluated in two scenarios: one with systematic users and another with unsystematic users, both incorporating renewable energy resources.
KW - Demand Response
KW - EV Characterization
KW - Optimization
KW - Renewable Energy
KW - Vehicle to Home
UR - https://www.scopus.com/pages/publications/105016582764
UR - https://www.mendeley.com/catalogue/7411b181-661a-3c52-ae2a-907eff146a53/
U2 - 10.1016/j.ifacol.2025.08.120
DO - 10.1016/j.ifacol.2025.08.120
M3 - Article
AN - SCOPUS:105016582764
SN - 1474-6670
VL - 59
SP - 103
EP - 108
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 9
Y2 - 18 June 2025 through 20 June 2025
ER -