Smart Battery Charging for Lifespan Extension
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Solution Overview
Problem
The lifespan of rechargeable batteries in portable electronic devices is adversely affected by improper charging parameters and environmental factors, such as heat and voltage variations, which existing technologies fail to optimize effectively.
Innovation Solution
A method and system that identify and implement battery maintenance policies based on environmental factors and device usage patterns, using a set of models installed on the device to optimize charging and extend battery lifespan, including smart charging systems and microcontrollers that manage battery health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If standard charging parameters are used, then charging speed is maintained, but battery lifespan deteriorates due to improper charging and environmental factors
Solution Approach 1:
The charging parameters are made dynamic and adaptive rather than fixed. The system continuously monitors environmental factors (temperature, humidity) and device usage patterns, then adjusts charging parameters in real-time to optimize both charging speed and battery lifespan. This resolves the contradiction by allowing the system to switch between fast charging and lifespan-preserving charging modes based on current conditions.
Solution Approach 2:
The system changes physical and operational parameters of the charging process based on environmental conditions. When temperature exceeds thresholds or humidity is high, the system modifies charging voltage, current, and timing parameters to prevent battery degradation. This parameter adaptation allows the system to maintain reliable charging while extending battery lifespan under varying environmental conditions.
2Duration of action of moving object
If charging parameters are adjusted to extend battery lifespan, then battery health is improved, but charging speed decreases
Solution Approach 1:
The system dynamically adjusts charging speed based on real-time environmental monitoring. When environmental conditions are favorable (moderate temperature, low humidity), the system employs faster charging parameters. When conditions deteriorate (high temperature, high humidity), the system automatically reduces charging speed to prevent battery damage. This dynamic adjustment resolves the speed-lifespan contradiction by optimizing charging rate according to environmental context.
Solution Approach 2:
The system uses periodic monitoring of environmental factors and implements periodic adjustments to charging parameters. Rather than maintaining a constant charging rate, the system periodically evaluates temperature and humidity levels, then modulates charging speed in cycles. This periodic action allows the battery to undergo controlled charging phases that extend lifespan while still achieving acceptable overall charging speed.
3Duration of action of moving object
If environmental factors are monitored and charging parameters are adjusted, then battery lifespan is extended, but device complexity increases
Solution Approach 1:
The battery management system performs self-monitoring and self-adjustment of charging parameters without requiring complex external control systems. Environmental sensors integrated into the device continuously track temperature and humidity, and the battery management controller automatically modifies charging parameters based on these readings. This self-service approach extends battery lifespan while minimizing the complexity overhead by eliminating the need for complex user interfaces or external control systems.
Solution Approach 2:
The battery management system integrates multiple functions into a single controller: environmental monitoring, charging parameter adjustment, and battery state tracking. Rather than adding separate complex systems for each function, the invention uses a multi-functional battery management controller that handles all tasks. This universal approach extends battery lifespan through environmental awareness while keeping the overall device complexity manageable through functional integration.
Data Source
AI summary
A method for managing a rechargeable battery. The method includes a computer processor identifying a rechargeable battery within a first device. The method further includes a computer processor identifying a battery maintenance policy associated with the rechargeable battery. The method further includes a computer processor determining a first set of models for implementing the identified battery maintenance policy on the identified rechargeable battery based on the identified battery maintenance policy and one or more environmental factors corresponding to the first device. The method further includes a computer processor installing the first set of models in the first device. The method further includes a computer processor performing an intervention action based, at least in part, on a current state of the first set of models and one or more current environmental factors corresponding to the first device.