(19)
(11) EP 4 424 549 A8

(12) CORRECTED EUROPEAN PATENT APPLICATION
Note: Bibliography reflects the latest situation

(15) Correction information:
Corrected version no 1 (W1 A2)

(48) Corrigendum issued on:
23.10.2024 Bulletin 2024/43

(43) Date of publication:
04.09.2024 Bulletin 2024/36

(21) Application number: 24190218.8

(22) Date of filing: 24.03.2021
(51) International Patent Classification (IPC): 
B60L 53/68(2019.01)
(52) Cooperative Patent Classification (CPC):
B60L 58/16; G01R 31/392; Y04S 30/14; B60L 53/68; B60L 53/66; G06Q 50/06; G06Q 40/08; G06Q 10/06; Y02T 90/167; G06Q 50/40; B60L 58/12; B60L 53/65; B60L 2260/46; B60L 2240/662; B60L 2240/545; B60L 2240/70; B60L 2240/547; B60L 2240/549; B60L 53/62; B60L 2240/12; B60L 2240/622
(84) Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

(30) Priority: 24.03.2020 KR 20200035892
23.03.2021 KR 20210037625

(62) Application number of the earlier application in accordance with Art. 76 EPC:
21776702.9 / 4064174

(71) Applicant: LG Energy Solution, Ltd.
Seoul 07335 (KR)

(72) Inventors:
  • KIM, Dong-Myung
    34122 Daejeon (KR)
  • KIM, Hyung-Sik
    34122 Daejeon (KR)
  • AHN, Hyoung Jun
    34122 Daejeon (KR)

(74) Representative: BCKIP Part mbB 
Siegfriedstraße 8
80803 München
80803 München (DE)

 
Remarks:
This application was filed on 23.07.2024 as a divisional application to the application mentioned under INID code 62.
 


(54) BATTERY PERFORMANCE MANAGEMENT METHOD AND ELECTRIC VEHICLE CHARGING STATION FORMING PART OF BATTERY PERFORMANCE MANAGEMENT SYSTEM


(57) Disclosed is a battery performance management system and method using an electric vehicle charging station. The battery performance management server collects battery performance evaluation information including identification information and operation characteristic accumulative information of a battery, identification information and driving characteristic accumulative information of the electric vehicle, and latest charging characteristic information of the battery from a plurality of charging stations through a network. Also, the server determines a current SOH corresponding to the collected battery performance evaluation information by using an artificial intelligence model that is trained in advance to receive the battery performance evaluation information and output a SOH of the battery. Also, the server determines a latest control factor corresponding to the current SOH, and transmits the latest control factor to the charging station through the network so that the charging station may transmit the latest control factor to a control system of the electric vehicle to update the control factor.