Battery Model Calibration via Current Pulse Validation
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Solution Overview
Problem
Inaccuracies in battery state determination by battery control systems can lead to operational instability and inefficiency, as modeled operational parameters often differ from measured parameters, affecting the reliability and efficiency of battery systems in vehicles and stationary power systems.
Innovation Solution
A system and method for calibrating battery control systems using a design device that supplies calibration current pulses to both the battery pack and model, adjusting model parameters based on differences between measured and modeled responses, ensuring accurate state determination and storage of validated models for online use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If battery control systems use modeled operational parameters for state determination, then computational efficiency is improved, but accuracy deteriorates due to differences between modeled and measured parameters
Solution Approach 1:
The patent applies preliminary action by pre-calibrating battery models offline using measured operational data to create accurate model parameters before deployment. During online operation, the pre-calibrated model parameters are used for rapid state determination without real-time measurement comparison, achieving both computational efficiency and accuracy. The calibration process includes applying current pulses, measuring responses, and adjusting model parameters to match actual battery behavior before the model is deployed for operational use.
2Measurement precision
If battery models are calibrated using measured operational data, then state determination accuracy is improved, but system complexity increases due to additional calibration procedures
Solution Approach 1:
The patent implements self-service by enabling the battery model to self-calibrate using its own operational data. The calibration process uses measurements taken during normal battery operation or simple test pulses to automatically adjust model parameters without requiring external intervention or complex calibration equipment. The system performs its own validation by comparing model predictions with actual measurements and iteratively refines parameters to minimize discrepancies.
Solution Approach 2:
The patent applies parameter changes by systematically adjusting specific model parameters (such as resistance, capacitance, and open-circuit voltage parameters) based on measured operational data. The calibration process involves applying controlled current pulses, measuring voltage responses, and modifying model parameters to match observed battery behavior. This focused adjustment of key parameters improves accuracy without requiring complete model reconstruction or complex system changes.
3Reliability
If calibration current pulses are applied to validate battery models, then model reliability is improved, but operational time is increased due to additional validation steps
Solution Approach 1:
The patent applies preliminary action by performing comprehensive model calibration and validation during manufacturing or initial setup phases before the battery system enters operational service. The calibration current pulses and measurements are conducted offline to establish accurate model parameters that are then stored for rapid online use. This approach consolidates time-consuming validation activities into a preliminary phase, eliminating repeated calibration time during operational periods while ensuring model reliability is established beforehand.
Data Source
AI summary
One embodiment of the present disclose describes systems and methods responsible for reducing errors in a battery model used in the operation of a battery control system. The battery control system may operate based on a predicted response of the battery derived from the battery model. If the battery model is not calibrated/validated, errors in the battery model may propagate through the predicted response of the battery to the operation of the battery control system. A calibration stimulus may result in a difference between an actual response of the battery and the predicted response of the battery to the same calibration stimulus. A validation technique, which uses a difference between the predicted response and the actual response of the battery to the calibration stimulus as a method to calibrate the battery model, may protect the battery control system from the contribution of errors from an uncalibrated battery model.