US 12,082,117 B2
Battery life-time prediction for low power devices
Talha Khan, Santa Clara, CA (US); Per Gunningberg, Uppsala (SE); Olof Liberg, Enskede (SE); and Yi-Pin Eric Wang, Fremont, CA (US)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 17/612,531
Filed by TELEFONAKTIEBOLAGET LM ERICSSON (PUBL), Stockholm (SE)
PCT Filed May 21, 2019, PCT No. PCT/IB2019/054202
§ 371(c)(1), (2) Date Nov. 18, 2021,
PCT Pub. No. WO2020/234628, PCT Pub. Date Nov. 26, 2020.
Prior Publication US 2022/0303906 A1, Sep. 22, 2022
Int. Cl. H04W 52/02 (2009.01)
CPC H04W 52/0258 (2013.01) [H04W 52/0225 (2013.01); H04W 52/0277 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method of battery state monitoring implemented by a network node in a wireless communication network, the method comprising:
determining a user equipment (UE) type of a UE;
determining a model designation associated with a battery used by the UE based on the UE type;
determining a voltage response characteristic of the battery based on the model designation associated with the battery;
generating, based on the voltage response characteristic of the battery, a predictive model for predicting a state of the battery;
determining an activity pattern of the UE;
estimating a predicted life-time of the battery based on the predictive model and the activity pattern of the UE; and
controlling operation of the UE to extend the predicted life-time of the battery,
wherein the voltage response characteristic is temperature dependent, and
wherein controlling the operation of the UE comprises barring access by the UE to the wireless communication network during a predetermined time period based on the voltage response characteristic of the battery and a temperature associated with the UE.