Automotive Battery Charging Power Limits Using Predicted Resistance
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Solution Overview
Problem
Battery control systems face inaccuracies in determining battery states, leading to operational instability and inefficiency due to discrepancies between modeled and real-time operational parameters, which can result in rapid battery voltage oscillations and reduced lifespan.
Innovation Solution
A battery control system that predicts internal resistance based on projected operational conditions and determines real-time internal resistance using a battery model when terminal voltage exceeds a threshold, adjusting charging power limits accordingly to maintain voltage stability and improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If battery control systems use modeled operational parameters to determine battery states, then processing efficiency is improved, but measurement precision deteriorates due to discrepancies between modeled and real-time parameters
Solution Approach 1:
The system performs preliminary calculations using the battery model to predict future operational parameters (voltage, current, temperature) and determines charging power limits in advance based on these predictions. This allows the control system to prepare control decisions before real-time measurements are taken, improving processing efficiency while maintaining accuracy through subsequent real-time validation.
Solution Approach 2:
The system continuously compares real-time measured operational parameters against the modeled parameters and uses this feedback to correct discrepancies. When significant deviations are detected, the system adjusts the battery model predictions and recalculates charging power limits, ensuring measurement precision is maintained while benefiting from the efficiency of model-based predictions.
2Stability of the object's composition
If battery control systems rely solely on modeled parameters, then operational stability is improved through consistent predictions, but reliability deteriorates due to rapid voltage oscillations caused by model inaccuracies
Solution Approach 1:
The system introduces a hybrid approach that acts as an intermediary between model-based predictions and real-time measurements. It uses the battery model to generate predicted operational parameters as intermediate values, then combines these with actual real-time measurements to determine final charging power limits. This intermediary process smooths out model inaccuracies while maintaining operational stability, preventing rapid voltage oscillations.
3Measurement precision
If real-time measurements are used continuously to improve battery state accuracy, then measurement precision is improved, but processing efficiency deteriorates due to computational complexity
Solution Approach 1:
The system applies partial real-time measurement processing by using real-time data selectively to correct specific aspects of the model predictions rather than continuously reprocessing all parameters. It focuses computational resources on calculating charging power limits where real-time accuracy is critical, while accepting approximate model-based values for other parameters, thus improving precision where needed without excessive processing overhead.
Data Source
AI summary
Systems and methods for improving operation of an automotive battery system including an automotive electrical system comprising a battery system that uses operational parameters. predicted internal resistance of a battery expected over a prediction horizon, and real-time internal resistance of a battery to increase performance and reliability. The battery system includes a battery electrically coupled to electrical devices in the automotive system, sensors coupled to the battery that determine terminal voltage of battery, and a battery control system communicatively coupled to sensors. The battery control system determines a charging power limit used to control supply of electrical power to the battery when charging the battery, based on predicted internal resistance when measured terminal voltage of the battery is not greater than a lower voltage threshold and based on a real-time internal resistance of the battery when the measured terminal voltage of the battery is greater than the lower voltage threshold.