International Business Machines had 12 patents in batteries during Q2 2024. IBM filed patents in Q2 2024 for methods to unify battery-status observability across heterogeneous devices, manage battery cells in a battery pack circuit to reduce stored energy, and implement wireless power transfer among multiple vehicles. These methods involve monitoring battery status, predicting remaining battery life, discharging cells approaching thermal state thresholds, and deploying wireless power chargers to vehicles in motion. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in batteries as a theme in Q2 2024.
Recent Patents
Application: Unified battery-status observability (Patent ID: US20240201264A1)
The patent filed by IBM describes a method for unifying battery-status observability across various devices by monitoring battery status, predicting remaining battery life using machine learning, and presenting the information on a unified dashboard. The method involves installing a monitoring agent on each device, alerting users if the battery life falls below a threshold, and converting battery status into a standard format for display. Additionally, crowdsourced data can be accessed to enhance the accuracy of battery life predictions.
The system and computer program product outlined in the patent aim to streamline the monitoring of battery status across heterogeneous devices by utilizing historical battery status information and machine learning to predict remaining battery life. By presenting this information on a unified dashboard, users can easily track the battery life of multiple devices. The system also includes features such as alerting users of low battery levels, representing remaining battery life as an estimated time until discharge, and converting battery status into a standard format for consistency. Furthermore, the system can access crowdsourced data to supplement historical information and improve the accuracy of battery life predictions.
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