Battery Management Adjusting Depth of Discharge for Aging
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Solution Overview
Problem
Aircraft batteries with all-electric propulsion experience rapid deterioration due to charging and discharging cycles and prolonged storage, leading to reduced energy capacity and increased internal resistance, necessitating a method to maintain energy performance and extend service life without excessive cost.
Innovation Solution
A method for managing battery health by adjusting the maximum depth of discharge based on the battery's state of health, with a predetermined profile that limits deep discharges and adjusts accordingly to maintain a constant energy level over the battery's service life, while also varying charge setpoints to prevent overcharge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the maximum depth of discharge is increased to maintain constant energy level, then the energy performance is maintained, but the battery ages more rapidly
Solution Approach 1:
The patent applies dynamics by making the maximum depth of discharge (MDOD) adjustable and adaptive rather than fixed. The MDOD is dynamically modified based on the battery's state of health (SOH), allowing the system to optimize between energy performance and battery longevity. As SOH decreases, the MDOD is reduced to prevent excessive stress on the aging battery, while compensation mechanisms maintain the delivered energy level.
Solution Approach 2:
The patent changes the parameter of maximum depth of discharge based on the battery's state of health. By monitoring SOH and adjusting MDOD accordingly, the system adapts to the battery's changing characteristics over time. This parameter modification allows the battery to deliver consistent energy performance while preventing operation conditions that would accelerate degradation.
2Duration of action of stationary object
If the maximum depth of discharge is limited to extend battery life, then the service life is extended, but the energy capacity decreases
Solution Approach 1:
The patent implements feedback by continuously monitoring the battery's state of health and using this information to adjust the maximum depth of discharge. The system measures actual battery performance, compares it to expected values, and modifies the MDOD accordingly. This closed-loop control ensures that the battery operates within safe limits while maximizing energy delivery at each stage of its life cycle.
Solution Approach 2:
The patent applies preliminary action by proactively adjusting the maximum depth of discharge before the battery reaches critical degradation thresholds. Rather than waiting for failure conditions, the system anticipates aging effects and modifies operation parameters in advance to prevent excessive stress accumulation, thereby extending service life while maintaining performance.
3Use of energy by moving object
If deeper discharges are allowed to maintain energy level, then the energy availability is maintained, but the battery undergoes premature ageing
Solution Approach 1:
The system dynamically adjusts the maximum depth of discharge based on real-time state of health assessment. When the battery is healthy, deeper discharges are permitted to maintain energy availability. As the battery ages, the system automatically reduces the MDOD to prevent premature aging, ensuring that energy availability is maintained within the context of the battery's current capabilities.
Data Source
AI summary
A method for managing a battery according to a state of health of the battery, comprising, prior to using the battery, predetermining a maximum depth of discharge profile according to the state of health of the battery, the profile being dependent on a technology of the battery, on a nominal energy level to be made available each time the battery is discharged, the nominal energy level being substantially constant over a service life of the battery. While using the battery, a maximum depth of discharge of the battery is adjusted at regular intervals, each time the state of health of the battery decreases by a percentage corresponding to an update interval p % that is equal to p/100, that is, for all state of health values (SOHn) that are equal to SOH0-n×p %, where n is an integer comprised between 0 and 20/p.