US 11,988,716 B2
Battery monitoring system
Anirudh Allam, Mountain View, CA (US); and Simona Onori, Palo Alto, CA (US)
Assigned to The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US)
Appl. No. 17/438,136
Filed by The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US)
PCT Filed Mar. 16, 2020, PCT No. PCT/US2020/022999
§ 371(c)(1), (2) Date Sep. 10, 2021,
PCT Pub. No. WO2020/186269, PCT Pub. Date Sep. 17, 2020.
Claims priority of provisional application 62/818,642, filed on Mar. 14, 2019.
Prior Publication US 2022/0163589 A1, May 26, 2022
Int. Cl. G01R 31/367 (2019.01); G01R 31/3842 (2019.01); G01R 31/392 (2019.01); H02J 7/00 (2006.01)
CPC G01R 31/367 (2019.01) [G01R 31/3842 (2019.01); G01R 31/392 (2019.01); H02J 7/0048 (2020.01); H02J 7/005 (2020.01)] 19 Claims
OG exemplary drawing
 
1. A battery monitoring system comprising:
a battery capable of generating an electric profile signal in the form of voltage and current data;
an adaptive cathode observer configured to receive the electric profile signal with respect to a cathode of the battery; and
an adaptive anode observer configured to receive the electric profile signal with respect to an anode of the battery;
wherein each of the adaptive cathode and anode observers utilize an electrochemical model of the battery to generate data describing an estimated ion concentration and a solid electrolyte interphase layer ionic conductivity at the cathode and the anode of the battery, and wherein the electrochemical model is used to calculate a state of health and a state of charge of the battery and wherein the adaptive cathode and adaptive anode observers update the estimated ion concentrations based on the calculated state of health and state of charge.