Battery Power Margin Estimation for Shutdown Prevention
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Solution Overview
Problem
Existing battery management systems fail to accurately predict peak power and energy availability, leading to unexpected shutdowns due to environmental changes and increased power demands, as they do not effectively incorporate temperature and other performance influencing parameters.
Innovation Solution
A battery management method that determines a load and energy estimation model based on parameters like current level, voltage, state of charge, and temperature, identifying power limits and performing actions when the power margin exceeds a threshold, such as notifying users to conserve power or charge the battery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If empirical and look up table-based predictions are used for maximum current/available energy, then the system is simple to implement, but the prediction accuracy deteriorates when environmental parameters like temperature change
Solution Approach 1:
The patent transforms the prediction approach from static lookup tables to dynamic models that continuously adapt parameters based on environmental conditions. The power limit estimation model incorporates temperature, state of charge, and other environmental parameters as variable inputs, allowing the system to adjust predictions in real-time according to changing conditions, thereby resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The patent replaces empirical mechanical lookup table methods with physics-based electrochemical models. By substituting the empirical approach with fundamental battery physics equations that account for temperature effects, internal resistance, and electrochemical reactions, the system achieves higher prediction accuracy while maintaining computational efficiency through model-based calculations.
2Use of energy by moving object
If the battery operates near end of discharge or under environmental changes, then the battery can provide maximum energy capacity, but unexpected shutdowns occur without prior indication
Solution Approach 1:
The patent implements preliminary action by providing advance warnings before battery shutdown occurs. The system continuously monitors power margins and predicts impending power limits, then notifies users in advance with recommendations to conserve power or charge the battery. This allows the system to maintain high energy utilization while preventing unexpected shutdowns through early intervention.
Solution Approach 2:
The patent establishes a feedback loop where the system continuously monitors battery state parameters (charge level, temperature, current draw) and compares them against predicted power limits. When the system approaches critical thresholds, feedback notifications are provided to users, enabling them to adjust their usage patterns before shutdown occurs, thereby improving reliability while maintaining energy utilization.
3Ease of operation
If the system demands great deal of power for applications like gaming, then user experience is enhanced, but the battery may shut down without notice
Solution Approach 1:
The patent enables users to take preliminary action by providing advance warnings before power exhaustion occurs during high-demand applications. The system monitors power consumption patterns and predicts when current usage will deplete available power, then notifies users beforehand with specific recommendations to conserve power or charge, allowing users to maintain their gaming experience without unexpected interruptions.
Solution Approach 2:
The patent implements real-time feedback during application usage by continuously monitoring power draw and comparing it against available power margins. When high-power applications are detected, the system provides feedback notifications about remaining power capacity and suggests power conservation measures, enabling users to balance their desire for enhanced user experience with the need for reliable battery operation.
4Adaptability or versatility
If the user moves from warm to cold environment, then the battery operates in diverse conditions, but the maximum extractable current significantly drops and is not captured by existing methods
Solution Approach 1:
The patent addresses environmental adaptability by incorporating temperature as a dynamic parameter in the power limit estimation model. The system adjusts key parameters such as internal resistance, open-circuit voltage, and maximum current based on measured temperature conditions. This allows the system to accurately predict power limits across diverse environmental conditions from warm to cold, resolving the contradiction between versatility and prediction accuracy.
Data Source
AI summary
A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.