EP3591413 - METHOD FOR EVALUATING AN ELECTRIC BATTERY STATE OF HEALTH [Right-click to bookmark this link] | Status | No opposition filed within time limit Status updated on 05.07.2024 Database last updated on 03.09.2024 | |
Former | The patent has been granted Status updated on 28.07.2023 | ||
Former | Grant of patent is intended Status updated on 21.03.2023 | ||
Former | Examination is in progress Status updated on 08.04.2022 | ||
Former | Request for examination was made Status updated on 23.03.2022 | ||
Former | Grant of patent is intended Status updated on 16.11.2021 | ||
Former | Request for examination was made Status updated on 27.03.2020 | ||
Former | The application has been published Status updated on 06.12.2019 | Most recent event Tooltip | 02.08.2024 | Lapse 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 date | 18305866.8 | 03.07.2018 | [2020/02] | Filing language | EN | Procedural language | EN | Publication | Type: | 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: | EP | 07.02.2019 | Classification | IPC: | G01R31/382, G01R31/367, G01R31/392 | [2021/46] | CPC: |
G01R31/367 (EP,US);
G01R31/392 (EP,CN,US);
G01R31/382 (EP)
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Former IPC [2020/02] | G01R31/367, G01R31/382 | 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 [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 | Title | German: | 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 procedure | 20.03.2020 | Amendment by applicant (claims and/or description) | 20.03.2020 | Examination requested [2020/18] | 20.03.2020 | Date on which the examining division has become responsible | 17.11.2021 | Communication of intention to grant the patent | 18.03.2022 | Disapproval of the communication of intention to grant the patent by the applicant or resumption of examination proceedings by the EPO | 12.04.2022 | Despatch of a communication from the examining division (Time limit: M04) | 11.08.2022 | Reply to a communication from the examining division | 22.03.2023 | Communication of intention to grant the patent | 24.07.2023 | Fee for grant paid | 24.07.2023 | Fee for publishing/printing paid | 24.07.2023 | Receipt of the translation of the claim(s) | Opposition(s) | 03.06.2024 | No opposition filed within time limit [2024/32] | Fees paid | Renewal fee | 22.06.2020 | Renewal fee patent year 03 | 28.06.2021 | Renewal fee patent year 04 | 21.06.2022 | Renewal fee patent year 05 | 21.06.2023 | Renewal 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 Tooltip | AT | 30.08.2023 | CZ | 30.08.2023 | DK | 30.08.2023 | EE | 30.08.2023 | ES | 30.08.2023 | FI | 30.08.2023 | HR | 30.08.2023 | IT | 30.08.2023 | LT | 30.08.2023 | LV | 30.08.2023 | NL | 30.08.2023 | PL | 30.08.2023 | RO | 30.08.2023 | RS | 30.08.2023 | SE | 30.08.2023 | SI | 30.08.2023 | SK | 30.08.2023 | SM | 30.08.2023 | NO | 30.11.2023 | GR | 01.12.2023 | IS | 30.12.2023 | PT | 02.01.2024 | [2024/36] |
Former [2024/26] | AT | 30.08.2023 | |
CZ | 30.08.2023 | ||
DK | 30.08.2023 | ||
EE | 30.08.2023 | ||
ES | 30.08.2023 | ||
FI | 30.08.2023 | ||
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PL | 30.08.2023 | ||
RO | 30.08.2023 | ||
RS | 30.08.2023 | ||
SE | 30.08.2023 | ||
SK | 30.08.2023 | ||
SM | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
PT | 02.01.2024 | ||
Former [2024/23] | AT | 30.08.2023 | |
CZ | 30.08.2023 | ||
DK | 30.08.2023 | ||
EE | 30.08.2023 | ||
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RO | 30.08.2023 | ||
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SE | 30.08.2023 | ||
SK | 30.08.2023 | ||
SM | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
PT | 02.01.2024 | ||
Former [2024/22] | AT | 30.08.2023 | |
CZ | 30.08.2023 | ||
DK | 30.08.2023 | ||
FI | 30.08.2023 | ||
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SM | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
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NL | 30.08.2023 | ||
PL | 30.08.2023 | ||
RS | 30.08.2023 | ||
SE | 30.08.2023 | ||
SM | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
Former [2024/14] | AT | 30.08.2023 | |
FI | 30.08.2023 | ||
HR | 30.08.2023 | ||
LT | 30.08.2023 | ||
LV | 30.08.2023 | ||
NL | 30.08.2023 | ||
PL | 30.08.2023 | ||
RS | 30.08.2023 | ||
SE | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
Former [2024/10] | AT | 30.08.2023 | |
FI | 30.08.2023 | ||
HR | 30.08.2023 | ||
LT | 30.08.2023 | ||
LV | 30.08.2023 | ||
PL | 30.08.2023 | ||
RS | 30.08.2023 | ||
SE | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
Former [2024/09] | AT | 30.08.2023 | |
FI | 30.08.2023 | ||
LT | 30.08.2023 | ||
SE | 30.08.2023 | ||
NO | 30.11.2023 | ||
GR | 01.12.2023 | ||
IS | 30.12.2023 | ||
Former [2024/08] | LT | 30.08.2023 | |
NO | 30.11.2023 | ||
GR | 01.12.2023 | 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 |