Dynamic Battery Operating Range Adjustment for Aging Compensation
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Solution Overview
Problem
Existing battery management systems struggle to maintain a required minimum energy and power level throughout the operating range of lithium-ion batteries, especially as they age, due to factors like temperature, cell imbalance, and internal resistance, leading to inefficient energy discharge and reduced battery durability.
Innovation Solution
A method that estimates the state of health in terms of power and energy to dynamically adjust the minimum and maximum state of charge levels, increasing them as the battery ages to compensate for reduced discharge power and capacity, thereby ensuring consistent performance and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the minimum state of charge is set too high, then the battery can supply required minimum power level even in cold conditions, but the energy available for the user decreases
Solution Approach 1:
The patent applies dynamics by making the minimum state of charge threshold variable rather than fixed. The BMS dynamically adjusts this threshold based on real-time monitoring of battery temperature, state of health, and ambient conditions. This allows the system to optimize the balance between available energy and power supply capability adaptively, resolving the contradiction between maintaining minimum power level and maximizing user energy availability.
2Use of energy by moving object
If the end-of-charge voltage is increased, then the energy available at start of life increases, but the battery ageing accelerates
Solution Approach 1:
The patent implements dynamics by dynamically adjusting the end-of-charge voltage threshold based on the battery's state of health, temperature, and cycling history. Rather than using a fixed high voltage threshold, the system adapts the charging cutoff voltage to optimize both energy availability and battery longevity, preventing excessive voltage stress that would accelerate degradation while maintaining sufficient energy capacity.
Solution Approach 2:
The patent applies feedback by continuously monitoring battery parameters including state of health, temperature, and charging cycles. This feedback loop allows the BMS to adjust the end-of-charge voltage in real-time based on the battery's actual condition, preventing overcharging that would accelerate ageing while ensuring adequate energy availability. The system learns from historical data to optimize charging parameters.
3Use of energy by moving object
If the minimum state of charge is set too low, then the energy available for the user increases, but the battery cannot supply required minimum power level in certain conditions
Solution Approach 1:
The patent resolves this contradiction through dynamic adjustment of the minimum state of charge threshold based on real-time battery conditions. The BMS monitors temperature, state of health, and power demands to adaptively set the minimum threshold, ensuring sufficient energy availability while maintaining the capability to supply required minimum power level even in cold or degraded conditions.
4Device complexity
If a fixed operating range is used, then the battery management is simple, but the system cannot compensate for ageing effects and environmental variations
Solution Approach 1:
The patent transitions from fixed to dynamic operating range management. The BMS continuously adapts charging and discharging thresholds based on battery state of health, temperature, and environmental conditions. This dynamic approach maintains performance consistency and reliability across the battery's lifetime and varying conditions, justifying the increased computational complexity through significant improvements in system reliability.
Solution Approach 2:
The patent implements self-service by enabling the battery management system to automatically adjust its own operating parameters without external intervention. The BMS autonomously monitors battery condition, detects ageing effects, and modifies charging/discharging limits accordingly, allowing the system to self-optimize performance and reliability throughout its operational life.
Data Source
AI summary
A method for managing an authorized operating range of a battery, the authorized operating range being limited between a minimum level and a maximum level of state of charge of the battery. The method includes estimating a state of health in power of the battery, the state of health in power characterizing capacity of the battery to supply a minimum required power level across an entirety of the operating range; and determining the minimum level of state of charge of the battery in accordance with the estimated state of health in power, the minimum level of state of charge being increased when the state of health in power decreases.