Apple inc. (20240202092). SMART ADVICE TO CHARGE NOTIFICATION simplified abstract
Contents
SMART ADVICE TO CHARGE NOTIFICATION
Organization Name
Inventor(s)
Cyril De La Cropte De Chanterac of San Francisco CA (US)
Phillip Stanley-marbell of San Francisco CA (US)
Katrik Venkatraman of San Francisco CA (US)
Gaurav Kapoor of Los Altos CA (US)
SMART ADVICE TO CHARGE NOTIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202092 titled 'SMART ADVICE TO CHARGE NOTIFICATION
Abstract: Systems and methods are disclosed for advising a user when an energy storage device in a computing system needs charging. State of charge data of the energy storage device can be measured and stored at regular intervals. The historic state of charge data can be queried over a plurality of intervals and a state of charge curve generated that is representative of a user's charging habits over time. The state of charge curve can be used to generate a rate of charge histogram and an acceleration of charge histogram. These can be used to predict when a user will charge next, and whether the energy storage device will have an amount of energy below a predetermined threshold amount before the next predicted charging time. A first device can determine when a second device typically charges and whether the energy storage device in the second device will have an amount of energy below the predetermined threshold amount before the next predicted charge time for the second device. The first device can generate an advice to charge notification to the user on either, or both, devices.
- Key Features and Innovation:
- Advising users when energy storage devices need charging - Measurement and storage of state of charge data at regular intervals - Generation of state of charge curve to represent user's charging habits - Prediction of next charging time and energy levels in the storage device - Notification to users on when to charge their devices
- Potential Applications:
- Smartphones, laptops, tablets, and other portable electronic devices - Electric vehicles and hybrid cars - Renewable energy storage systems
- Problems Solved:
- Ensuring users do not run out of battery unexpectedly - Optimizing charging habits for better battery health - Improving user experience with electronic devices
- Benefits:
- Increased convenience for users - Prolonged battery life for devices - Enhanced user satisfaction with technology
- Commercial Applications:
Title: Energy Storage Device Charging Advisor Commercial Applications: This technology can be integrated into electronic devices to provide users with personalized charging recommendations, potentially leading to increased user satisfaction and loyalty. It can also be utilized in electric vehicles to optimize charging schedules and improve overall battery performance, attracting environmentally conscious consumers.
- Prior Art:
There may be prior art related to battery charging algorithms, energy management systems, and predictive analytics in the field of electronic devices and electric vehicles.
- Frequently Updated Research:
Research on battery charging optimization, user behavior analysis, and energy storage device management is continuously evolving in the field of technology and sustainability.
Questions about Energy Storage Device Charging Advisor:
1. How does this technology benefit users in terms of battery life and device performance? 2. What are the potential implications of integrating this technology into electric vehicles for optimizing charging schedules and battery health?
Original Abstract Submitted
systems and methods are disclosed for advising a user when an energy storage device in a computing system needs charging. state of charge data of the energy storage device can be measured and stored at regular intervals. the historic state of charge data can be queried over a plurality of intervals and a state of charge curve generated that is representative of a user's charging habits over time. the state of charge curve can be used to generate a rate of charge histogram and an acceleration of charge histogram. these can be used to predict when a user will charge next, and whether the energy storage device will have an amount of energy below a predetermined threshold amount before the next predicted charging time. a first device can determine when a second device typically charges and whether the energy storage device in the second device will have an amount of energy below the predetermined threshold amount before the next predicted charge time for the second device. the first device can generate an advice to charge notification to the user on either, or both, devices.
