WO2022164400A3 - Test method performed with design of experiment created by an artificial intelligence - Google Patents

Test method performed with design of experiment created by an artificial intelligence Download PDF

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Publication number
WO2022164400A3
WO2022164400A3 PCT/TR2021/050090 TR2021050090W WO2022164400A3 WO 2022164400 A3 WO2022164400 A3 WO 2022164400A3 TR 2021050090 W TR2021050090 W TR 2021050090W WO 2022164400 A3 WO2022164400 A3 WO 2022164400A3
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WO
WIPO (PCT)
Prior art keywords
artificial intelligence
data
design
experiment
test method
Prior art date
Application number
PCT/TR2021/050090
Other languages
French (fr)
Other versions
WO2022164400A8 (en
WO2022164400A2 (en
Inventor
Can KURTULUS
Francesca DAMIANI
Gokhan BUDAN
Original Assignee
Eatron Technologies Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Eatron Technologies Limited filed Critical Eatron Technologies Limited
Priority to GB2313056.0A priority Critical patent/GB2618505A/en
Priority to PCT/TR2021/050090 priority patent/WO2022164400A2/en
Publication of WO2022164400A2 publication Critical patent/WO2022164400A2/en
Publication of WO2022164400A8 publication Critical patent/WO2022164400A8/en
Publication of WO2022164400A3 publication Critical patent/WO2022164400A3/en

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a computer implemented test method comprising creation of a battery model (20) generated by a virtual data generator (12) in a control unit (10) indicating the dynamics of the battery, collecting at least one piece of data and at least one second piece of data from the created battery model (20) by means of a data collector (14), converting the obtained first and second pieces of data into a training data by a controller (16), training an artificial intelligence module (30) using the training data to create an design of experiment for batteries. Test method further comprising the process steps of creation of an design of experiment by a processor (32) in the artificial intelligence module (30), determining the parameters to be tested with the design of experiment, creating a simulation environment (40) by a simulation generator (34) of the artificial intelligence module (30) with the determined parameters, monitoring the battery dynamics according to the changing parameters of the batteries with an monitoring unit (36) inside the artificial intelligence module (30).
PCT/TR2021/050090 2021-11-08 2021-11-08 Test method performed with design of experiment created by an artificial intelligence WO2022164400A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GB2313056.0A GB2618505A (en) 2021-11-08 2021-11-08 Test method performed with design of experiment created by an artificial intelligence
PCT/TR2021/050090 WO2022164400A2 (en) 2021-11-08 2021-11-08 Test method performed with design of experiment created by an artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/TR2021/050090 WO2022164400A2 (en) 2021-11-08 2021-11-08 Test method performed with design of experiment created by an artificial intelligence

Publications (3)

Publication Number Publication Date
WO2022164400A2 WO2022164400A2 (en) 2022-08-04
WO2022164400A8 WO2022164400A8 (en) 2023-09-21
WO2022164400A3 true WO2022164400A3 (en) 2023-12-07

Family

ID=82654866

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/TR2021/050090 WO2022164400A2 (en) 2021-11-08 2021-11-08 Test method performed with design of experiment created by an artificial intelligence

Country Status (2)

Country Link
GB (1) GB2618505A (en)
WO (1) WO2022164400A2 (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180095140A1 (en) * 2016-10-05 2018-04-05 Samsung Electronics Co., Ltd. Battery state estimation apparatus and method
CN110210147A (en) * 2019-06-05 2019-09-06 杭州华塑加达网络科技有限公司 The simulator and emulation mode of estimating state of health of battery
AU2021101964A4 (en) * 2021-04-16 2021-06-03 Anoop Arya Artificial intelligence based smart electric vehicle battery management system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180095140A1 (en) * 2016-10-05 2018-04-05 Samsung Electronics Co., Ltd. Battery state estimation apparatus and method
CN110210147A (en) * 2019-06-05 2019-09-06 杭州华塑加达网络科技有限公司 The simulator and emulation mode of estimating state of health of battery
AU2021101964A4 (en) * 2021-04-16 2021-06-03 Anoop Arya Artificial intelligence based smart electric vehicle battery management system

Also Published As

Publication number Publication date
GB202313056D0 (en) 2023-10-11
WO2022164400A8 (en) 2023-09-21
WO2022164400A2 (en) 2022-08-04
GB2618505A (en) 2023-11-08

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