US 12,000,895 B2
Method for predicting an aging state of a battery
Christian Simonis, Leonberg (DE); and Christoph Woll, Gerlingen (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Appl. No. 17/630,087
Filed by Robert Bosch GmbH, Stuttgart (DE)
PCT Filed Oct. 29, 2020, PCT No. PCT/EP2020/080344
§ 371(c)(1), (2) Date Jan. 25, 2022,
PCT Pub. No. WO2021/089391, PCT Pub. Date May 14, 2021.
Claims priority of application No. 10 2019 217 299.7 (DE), filed on Nov. 8, 2019.
Prior Publication US 2022/0252671 A1, Aug. 11, 2022
Int. Cl. G01R 31/367 (2019.01); G01R 31/392 (2019.01); G07C 5/10 (2006.01)
CPC G01R 31/367 (2019.01) [G01R 31/392 (2019.01); G07C 5/10 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method for predicting an aging state of a battery, the method comprising:
providing data of the battery as a function of various usage profiles of the battery;
transmitting the data of the battery to a memory device in which data from multiple comparison batteries are stored, processed, and analyzed;
determining aging state values of the battery at defined times and/or for defined events using a battery reference model;
forming an aging state pattern of the battery based on the determined aging state values; and
determining a predicted aging state value and/or a predicted aging state pattern of the battery: (i) by extrapolating the aging state pattern that is formed, and (ii) by associating the formed aging state pattern with an ascertained aging state pattern from the data of the comparison batteries stored in the memory device, multiple aging state patterns being ascertained from the data stored in the memory device.