Battery State Estimation Cycle Adjustment via Current Threshold Comparison
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Solution Overview
Problem
Conventional battery state estimating devices face high power consumption due to high calculation loads, and the use of linear approximation formulas can lead to decreased estimation accuracy, especially when the battery reaction rate varies.
Innovation Solution
A battery state estimating device that adjusts its estimation cycle based on the comparison of current flow with stored threshold values, allowing for reduced calculation load while maintaining accuracy by varying the frequency of state estimations according to the battery's reaction rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If linear approximation formula is used in the electrochemical model, then calculation load is reduced, but estimation accuracy deteriorates
Solution Approach 1:
The patent applies dynamics by making the estimation cycle variable rather than fixed. The control unit dynamically adjusts the estimation cycle based on battery state (charged/discharged) and current flow conditions. When the battery is charged and current exceeds a threshold, the estimation cycle is shortened to maintain accuracy; otherwise, it is extended to reduce power consumption. This dynamic adaptation resolves the contradiction between calculation load and estimation accuracy.
Solution Approach 2:
The patent changes the parameter of estimation cycle duration based on operating conditions. By modifying this temporal parameter according to battery state and current magnitude, the system optimizes the balance between computational effort and estimation precision. The estimation cycle is extended under low-stress conditions to reduce power consumption while maintained shorter under high-current charging conditions to preserve accuracy.
2Measurement precision
If battery state estimation is performed frequently to maintain accuracy, then power consumption increases
Solution Approach 1:
The patent implements periodic action by performing battery state estimation at variable intervals rather than continuously. The estimation is executed periodically with the cycle duration adapted based on battery conditions. This periodic approach with variable frequency maintains estimation accuracy when needed while reducing power consumption during normal operation, resolving the contradiction between frequent monitoring and energy efficiency.
Solution Approach 2:
The system dynamically adjusts the estimation frequency based on real-time battery state and current conditions. The control unit monitors battery parameters and adaptively modifies the estimation cycle, increasing frequency only when necessary (high current during charging) and reducing it during low-activity periods. This dynamic frequency adjustment maintains accuracy requirements while minimizing overall power consumption.
Data Source
AI summary
A battery state estimating device periodically estimates a battery state of a secondary battery. The battery state estimating device has a current amount acquiring section, a threshold amount memory, a current amount comparing section, a cycle setting section, and a battery state estimating section. The current amount acquiring section acquires a current amount flowing in the secondary battery. At least one current threshold amount is stored in advance in the threshold amount memory. The current amount comparing section compares the current amount acquired by the current amount acquiring section with the current threshold amount stored in the threshold amount memory. The cycle setting section sets an estimation cycle for estimating the state of the secondary battery based on this comparison result. The battery state estimating section periodically estimates the battery state of the secondary battery based on the estimation cycle set by the cycle setting section.