Dynamic State of Charge Management for Battery Aging
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Solution Overview
Problem
Lithium-ion accumulators experience premature aging and capacity loss due to oversizing and inadequate state of charge management, leading to reduced autonomy and service life, especially when subjected to electrical stress without optimal management strategies.
Innovation Solution
A method that dynamically adjusts the maximum state of charge (SOC max) threshold based on the state of health (SOH) parameter, allowing for optimal management by defining SOC max as min(SOC max_user, SOC max_BMS) - 100% * SOH(t), to minimize degradation and ensure consistent service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the accumulator is oversized to ensure sufficient energy capacity, then the energy storage capability is improved, but the degradation and capacity loss accelerate due to prolonged operation at high state of charge
Solution Approach 1:
The patent implements a dynamic state of charge management system that continuously adjusts the maximum SOC threshold based on real-time SOH measurements and usage patterns. Instead of using a fixed SOC limit, the system adapts the operational window to optimize both energy utilization and battery longevity, allowing the accumulator to operate dynamically between adjusted SOC bounds that respond to aging conditions
Solution Approach 2:
The patent changes the operational parameters by introducing a variable maximum state of charge threshold that is dynamically adjusted based on the battery's health state (SOH) and usage history. This parameter modification transforms the static SOC management into a adaptive control strategy, where the max SOC limit evolves with the battery's aging process to prevent premature degradation while maintaining sufficient energy capacity
2Ease of operation
If the accumulator is permanently brought back to full charge after use, then the readiness for next use is improved, but premature aging and capacity loss occur
Solution Approach 1:
The patent applies preliminary action by proactively adjusting the maximum SOC threshold before the battery reaches full charge, based on predicted usage patterns and current SOH status. The system pre-calculates an optimized charge limit that prevents the battery from entering the high-SOC degradation zone, thereby extending lifespan while ensuring sufficient charge for anticipated usage without requiring full charging cycles
Solution Approach 2:
The patent implements a feedback mechanism that continuously monitors the battery's state of health (SOH) and usage patterns, then uses this information to dynamically adjust the maximum SOC threshold. The system measures actual battery performance, compares it against degradation models, and feeds this information back to modify charging behavior, creating a closed-loop control system that adapts to the battery's aging process
3Reliability
If the state of charge is dynamically adjusted based on SOH, then the degradation is limited and lifespan is extended, but the service delivery consistency must be maintained
Solution Approach 1:
The patent implements dynamic SOC threshold adjustment that adapts to the battery's aging state while maintaining service consistency through real-time monitoring and prediction. The system continuously updates the maximum SOC limit based on measured SOH values and usage patterns, ensuring that the adjusted thresholds always provide sufficient energy capacity for required applications while preventing degradation-causing high-SOC conditions
Data Source
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AI summary
The invention relates to a method for managing the state of charge of a battery coupled to a battery management system (BMS), the state of charge being limited below a maximum state of charge (SOCmax), characterized in that it comprises all the following steps repeated over time allowing the evolution over time of said maximum state of charge or said maximum energy state: - the determination of the state of health of said battery at a time t in terms of charge SOH(t); - the determination of the maximum state of charge SOCmax(t) as a function of said state of health SOH(t) and corresponding to the following equation: SOCmaxt=minSOCmax_user+100−SOHt,SOCmax_BMS with • SOCmax_user: upper SOC limit defined by the user [%];• Socmax_BMS: upper SOC limit defined in the battery control system defined by the manufacturer. The invention can be similarly implemented using the energy state parameter instead of the state of charge parameter.