Battery Cell Capacity Estimation Using SOC Voltage Error Minimization
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Solution Overview
Problem
Existing methods for estimating the state-of-charge and capacity of battery cells in electrical propulsion systems are inaccurate due to variations in electrochemical characteristics and aging, leading to uneven charge distribution and limited operational performance, particularly in hybrid and electric vehicles.
Innovation Solution
A method using a set of state-of-charge (SOC) estimators with different capacity settings to determine the operating parameter of battery cells through voltage error minimization, specifically employing curve fitting and Kalman filtering to provide accurate and efficient capacity estimation during vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If average battery cell voltage data is used for SOC estimation assuming identical electrochemical characteristics, then the estimation process is simple, but the accuracy deteriorates due to cell variations and aging
Solution Approach 1:
The patent segments the battery pack into individual battery cells for separate monitoring and estimation. Instead of treating the battery pack as a uniform entity, each cell is individually characterized with its own SOC estimator, allowing accurate tracking of cell-specific variations and aging effects while maintaining manageable complexity through modular processing.
Solution Approach 2:
The patent applies local quality by assigning unique electrochemical parameters and SOC estimators to each battery cell based on its specific characteristics. Each cell receives customized estimation parameters adapted to its individual aging state and electrochemical properties, improving overall accuracy without requiring complete redesign of the entire estimation system.
2Measurement precision
If sophisticated algorithms are used for capacity estimation, then the accuracy improves, but the computation time increases
Solution Approach 1:
The patent performs preliminary characterization of each battery cell's electrochemical properties during manufacturing or initial operation phases. These pre-determined parameters (capacity, impedance, voltage-SOC relationships) are stored and reused during operation, eliminating the need for repeated complex calculations while maintaining accurate SOC and capacity estimation during vehicle operation.
Solution Approach 2:
The patent employs computationally efficient approximation methods and simplified models that provide sufficiently accurate results for real-time operation. Instead of using heavy sophisticated algorithms continuously, the system uses lightweight estimation techniques that are computationally inexpensive and can be executed frequently without significant time penalty.
Data Source
AI summary
The invention relates to a method (100) for estimating an operating parameter of a battery cell of a battery unit in an electrical propulsion system of a vehicle, the operating parameter being indicative of one of capacity and impedance of the battery cell, the method comprising: selecting (110) at least one battery cell in the battery unit for determining the operating parameter of the battery cell; providing (120) a set of state-of-charge (SOC) estimators, each SOC estimator having a selected operating parameter value for a given time period; and using (130) the set of SOC estimators to determine a value of the operating parameter of the battery cell by performing voltage error minimization.


