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Extract from the Register of European Patents

EP About this file: EP3591413

EP3591413 - METHOD FOR EVALUATING AN ELECTRIC BATTERY STATE OF HEALTH [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  05.07.2024
Database last updated on 03.09.2024
FormerThe patent has been granted
Status updated on  28.07.2023
FormerGrant of patent is intended
Status updated on  21.03.2023
FormerExamination is in progress
Status updated on  08.04.2022
FormerRequest for examination was made
Status updated on  23.03.2022
FormerGrant of patent is intended
Status updated on  16.11.2021
FormerRequest for examination was made
Status updated on  27.03.2020
FormerThe application has been published
Status updated on  06.12.2019
Most recent event   Tooltip02.08.2024Lapse of the patent in a contracting state
New state(s): SI		published on 04.09.2024 [2024/36]
Applicant(s)For all designated states
Electricité de France
22-30 Avenue de Wagram
75008 Paris / FR
[2020/02]
Inventor(s)01 / LUCIDARME, Thierry
14 Chemin de la Butte des Vignes
78460 CHEVREUSE / FR
02 / VAN DEN BERG, Jan Jasper
Rue Couchirard 10
1004 LAUSANNE / CH
03 / NOLAN, Julian Charles
Chemin de Margerol 5
1009 PULLY / CH
04 / BEARD, Timothy Giles
196 Histon Road
Cambridge, CB4 3HJ / GB
 [2020/02]
Representative(s)Plasseraud IP
104 Rue de Richelieu
CS92104
75080 Paris Cedex 02 / FR
[N/P]
Former [2020/02]Plasseraud IP
66, rue de la Chaussée d'Antin
75440 Paris Cedex 09 / FR
Application number, filing date18305866.803.07.2018
[2020/02]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3591413
Date:08.01.2020
Language:EN
[2020/02]
Type: B1 Patent specification 
No.:EP3591413
Date:30.08.2023
Language:EN
[2023/35]
Search report(s)(Supplementary) European search report - dispatched on:EP07.02.2019
ClassificationIPC:G01R31/382, G01R31/367, G01R31/392
[2021/46]
CPC:
G01R31/367 (EP,US); G01R31/392 (EP,CN,US); G01R31/382 (EP)
Former IPC [2020/02]G01R31/367, G01R31/382
Designated contracting statesAL,   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 [2020/18]
Former [2020/02]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 
TitleGerman:VERFAHREN ZUR BEWERTUNG DES GESUNDHEITSZUSTANDS EINER ELEKTRISCHEN BATTERIE[2020/02]
English:METHOD FOR EVALUATING AN ELECTRIC BATTERY STATE OF HEALTH[2020/02]
French:PROCÉDÉ POUR ÉVALUER L'ÉTAT DE SANTÉ D'UNE BATTERIE ÉLECTRIQUE[2020/02]
Examination procedure20.03.2020Amendment by applicant (claims and/or description)
20.03.2020Examination requested  [2020/18]
20.03.2020Date on which the examining division has become responsible
17.11.2021Communication of intention to grant the patent
18.03.2022Disapproval of the communication of intention to grant the patent by the applicant or resumption of examination proceedings by the EPO
12.04.2022Despatch of a communication from the examining division (Time limit: M04)
11.08.2022Reply to a communication from the examining division
22.03.2023Communication of intention to grant the patent
24.07.2023Fee for grant paid
24.07.2023Fee for publishing/printing paid
24.07.2023Receipt of the translation of the claim(s)
Opposition(s)03.06.2024No opposition filed within time limit [2024/32]
Fees paidRenewal fee
22.06.2020Renewal fee patent year 03
28.06.2021Renewal fee patent year 04
21.06.2022Renewal fee patent year 05
21.06.2023Renewal fee patent year 06
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SI30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
[2024/36]
Former [2024/26]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/23]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/22]AT30.08.2023
CZ30.08.2023
DK30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/20]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/14]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/10]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/09]AT30.08.2023
FI30.08.2023
LT30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/08]LT30.08.2023
NO30.11.2023
GR01.12.2023
Documents cited:Search[XI]CN103278777B  (UNIV HANGZHOU DIANZI) [X] 1 * the whole document * [I] 2-12;
 [XI]US2016003917  (YOU KAEWEON [KR], et al) [X] 1 * abstract * * paragraph [0009] - paragraph [0033] * * paragraph [0052] - paragraph [0123] * [I] 2-12;
 [XI]US2016187428  (BASU SUMAN [IN], et al) [X] 1 * abstract * * paragraph [0007] - paragraph [0025] * * paragraph [0044] - paragraph [0121] * [I] 2-12;
 [I]  - BHASKAR SAHA ET AL, "An integrated approach to battery health monitoring using bayesian regression and state estimation", AUTOTESTCON, 2007 IEEE, IEEE, PI, (20070901), ISBN 978-1-4244-1238-9, pages 646 - 653, XP031155834 [I] 1-12 * abstract * * Section: Methodology * * Section: Implementation * * Section: Results *
 [I]  - NG SELINA S Y ET AL, "A naive Bayes model for robust remaining useful life prediction of lithium-ion battery", APPLIED ENERGY, (20140108), vol. 118, doi:10.1016/J.APENERGY.2013.12.020, ISSN 0306-2619, pages 114 - 123, XP028607659 [I] 1-12 * abstract * * Section 3: RUL prediction algorithm * * Section 4: Experimental results *

DOI:   http://dx.doi.org/10.1016/j.apenergy.2013.12.020
 [I]  - WEI HE ET AL, "Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo method", JOURNAL OF POWER SOURCES, ELSEVIER SA, CH, vol. 196, no. 23, doi:10.1016/J.JPOWSOUR.2011.08.040, ISSN 0378-7753, (20110806), pages 10314 - 10321, (20110812), XP028303469 [I] 1-12 * abstract * * Section 4: Model initialization using Dempster-Shafer theory * * Section 5: Model updating via Bayesian Monte Carlo * * Section 6: The SOH prognostics and RUL estimation * * Section 7: Prognostic results *

DOI:   http://dx.doi.org/10.1016/j.jpowsour.2011.08.040
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