Charge Capacity Estimation for Electric Storage Devices
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Solution Overview
Problem
Existing charge capacity estimation systems for electric storage devices, such as rechargeable batteries, fail to accurately reflect the charged electric quantity during repeated charging and discharging operations, leading to inaccurate remaining capacity calculations.
Innovation Solution
A charge capacity parameter estimation system that includes charging/discharging state detection means and estimation means, which controls the generated voltage of a power generator to accurately estimate the actual charge capacity of an electric storage device by adjusting the charge capacity parameter through charging and discharging operations, and uses a correlation model based on voltage detection during zero current conditions to improve estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the remaining capacity is calculated by setting it to the initial value (100%) and subtracting the dropped amount caused by discharging operations, then the calculation method is simple, but the charged electric quantity cannot be accurately reflected during repeated charging and discharging operations
Solution Approach 1:
The system continuously monitors the charging/discharging state and compares the actual state with the estimated charge capacity parameter. When a discrepancy is detected (actual charging state contradicts the estimate during discharging operation), the system provides feedback to correct the parameter, ensuring accurate reflection of charged electric quantity through iterative refinement
Solution Approach 2:
The system performs preliminary estimation of the charge capacity parameter based on discharging operation data before actual charging occurs. This preliminary estimate is then refined through feedback when charging state is detected, allowing the system to proactively prepare accurate capacity information while maintaining computational simplicity
2Measurement precision
If the charge capacity parameter is frequently adjusted to improve estimation accuracy, then the estimation precision improves, but the system complexity increases
Solution Approach 1:
The system changes the charge capacity parameter based on detected charging/discharging states and contradictions between actual and estimated states. By adjusting only the necessary parameters (charge capacity parameter and correction value) based on simple state detection, the system achieves improved estimation accuracy without requiring complex system architecture
Solution Approach 2:
The system uses its own operational data (charging/discharging state detection) to automatically adjust and refine the charge capacity parameter without external intervention. This self-correcting mechanism improves estimation accuracy while maintaining system simplicity, as the system serves its own calibration needs using existing sensors and controllers
Data Source
AI summary
A charge capacity parameter estimation system for an electric storage device capable of charging and discharging is provided, which can accurately estimate a charge capacity parameter indicative of a charge capacity of the electric storage device. The charge capacity parameter estimation system for a battery includes an ECU and a sensor unit. The ECU estimates that an actual charge capacity of the electric storage device is less than an estimated charge capacity, when a charging state of the electric storage device is detected, in a case where a generated voltage of a power generator is controlled such that the battery executes a discharging operation to an auxiliary equipment.


