Open AccessOvercoming non‐idealities in electric vehicle charging management
Author(s) -
Rauma Kalle,
Simolin Toni,
Rautiainen Antti,
Järventausta Pertti,
Rehtanz Christian
Publication year - 2021
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/els2.12025
Subject(s) - electric vehicle , offset (computer science) , ideal (ethics) , engineering , algorithm , power (physics) , computer science , automotive engineering , electronic engineering , philosophy , physics , epistemology , quantum mechanics , programming language
The inconvenient nature of non‐ideal charging characteristics is demonstrated from a power system point of view. A new adaptive charging algorithm that accounts for non‐ideal charging characteristics is introduced. The proposed algorithm increases the local network capacity utilization rate and reduces charging times. The first unique element of the charging algorithm is exploitation of the measured charging currents instead of ideal or predefined values. The second novelty is the introduction of a short‐term memory called expected charging currents. This makes the algorithm capable of adapting to the unique charging characteristics of each vehicle individually without the necessity to obtain any information from the vehicle or the user. The proposed algorithm caters to various non‐idealities, such as phase unbalances or the offset between the current set point and the real charging current but is still relatively simple and computationally light. The algorithm is compatible with charging standard IEC 61851 and is validated under different test cases with commercial electric vehicles.