Battery Pack Estimation Using Conductor Resistance Modeling
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Solution Overview
Problem
Existing technologies fail to accurately estimate the charge-discharge performance of energy storage apparatuses comprising multiple energy storage devices, particularly in low-voltage batteries used in vehicles, due to the inability to consider the resistance components of conductive members and variations in the state of individual devices.
Innovation Solution
An estimation device that utilizes an energy storage apparatus model incorporating resistance components of conductive members and voltage values of multiple devices to simulate behavior, allowing for accurate estimation of charge-discharge performance by considering structural resistance and device variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single storage battery model is used for estimation, then the estimation process is simple, but the charge-discharge performance of multi-device energy storage apparatus cannot be accurately estimated
Solution Approach 1:
The energy storage apparatus is segmented into multiple individual storage battery models, each representing a specific device within the apparatus. This segmentation allows the estimation to account for variations in state of charge, temperature, and performance characteristics of each individual battery, thereby improving estimation accuracy for multi-device systems while maintaining manageable model complexity through modular structure
Solution Approach 2:
Multiple individual storage battery models are merged into a comprehensive energy storage apparatus model that integrates the electrical equivalent circuits of all constituent batteries. This merging approach combines the detailed characteristics of individual devices into a unified model that accurately represents the overall apparatus behavior, enabling precise charge-discharge performance estimation at the system level
2Device complexity
If resistance components of conductive members are not considered, then the estimation calculation is simpler, but the voltage drop and performance estimation become inaccurate
Solution Approach 1:
The resistance components of conductive members are extracted and separated from the bulk storage battery models, represented as distinct resistance elements in the electrical equivalent circuit. This extraction allows the model to explicitly account for voltage drops in conductive paths without complicating the core battery chemistry models, improving voltage estimation accuracy while maintaining computational efficiency
Solution Approach 2:
Different resistance values are assigned to different conductive members based on their specific properties (material, length, cross-section, temperature). This local quality approach ensures that each conductive path's unique characteristics are reflected in the estimation, improving accuracy of voltage drop calculations in specific regions of the energy storage apparatus without requiring uniform simplification across the entire system
Data Source
AI summary
An estimation device 2 includes a control unit 21 that estimates charge acceptance performance or discharge performance of an energy storage apparatus 1 including a plurality of energy storage devices 3 and a conductive member. The control unit 21 acquires a current value of the energy storage apparatus 1 and a voltage value of the plurality of energy storage devices at an estimation time point, and estimates information on whether or not the energy storage apparatus 1 can be charged or discharged according to an assumed conduction pattern for a predetermined time from the estimation time point, by using the acquired current value, the acquired voltage value, and an energy storage apparatus model simulating behavior of the energy storage apparatus 1. The energy storage apparatus model includes a resistance component of the conductive member.