Battery Pack Charging Priority Under Transport Power Limits
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Solution Overview
Problem
Existing methods for determining use parameters for rechargeable battery packs in charger devices for mobile devices, particularly in transport means, are inefficient in optimizing charging due to limitations in charging current, power, and temperature, leading to suboptimal battery charging during transport.
Innovation Solution
A method and system that ascertain state and rated variables of rechargeable battery packs, determine possible use time durations, and calculate use parameters by linking these variables with the charger device's limits, optimizing charging through automatic determination and consideration of variables like maximum charging current, power, and temperature, ensuring efficient charging even when all packs cannot be fully charged within available time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the charger device charges multiple rechargeable battery packs simultaneously, then the charging throughput increases, but the charging current and power are distributed across multiple packs, reducing the charging speed for each individual pack
Solution Approach 1:
The system dynamically determines use parameters including priority values for different battery packs and adjusts charging current distribution in real-time based on ascertained state variables (charge level, temperature, age) and rated variables, allowing the charging regime to change adaptively during the charging process
Solution Approach 2:
The system changes operational parameters (charging current, power distribution, temperature limits) based on ascertained state and rated variables of each battery pack, optimizing charging conditions for each pack while managing the overall charging process of multiple packs
2Loss of time
If the charger device charges battery packs at maximum power, then the charging time is reduced, but the temperature increases and may exceed safe operating limits
Solution Approach 1:
The system continuously ascertains state variables including temperature during charging and uses this feedback to dynamically adjust charging parameters, ensuring temperature remains within safe limits while maximizing charging speed
Solution Approach 2:
The charging current and power are dynamically adjusted based on real-time temperature measurements and other state variables, allowing the system to operate at maximum power when safe and reduce power when temperature approaches limits
3Device complexity
If the charger device uses a simple charging algorithm, then the device complexity is reduced, but the optimization of charging parameters and energy distribution is insufficient
Solution Approach 1:
The system automatically ascertains state and rated variables of battery packs and determines optimal use parameters without manual intervention, with the charger device autonomously managing priority assignments and parameter optimization based on pre-programmed algorithms
Data Source
AI summary
A method determines a use parameter for a rechargeable battery pack for using a charger device that charges user-exchangeable rechargeable battery packs for driving a mobile device. A means of transport includes the charger device. The method ascertains state and rated variables of the rechargeable battery packs relating to a possible charging of the rechargeable battery packs by the charger device; ascertains possible use time durations of the rechargeable battery packs for possibly using the charger device relating to a possible charging of the rechargeable battery packs by the charger device; and determines the use parameter for at least one of the rechargeable battery packs for using the charger device by linking the ascertained state and rated variables and the ascertained possible use time durations taking account of a use limit of the charger device.