Battery Operating Parameter Prediction Using Dynamic Model Segmentation
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Solution Overview
Problem
Existing methods for determining the permissible operating range of battery parameters in hybrid and electric vehicles are inaccurate due to production variation and ageing, especially in non-linear operating zones, leading to potential battery degradation.
Innovation Solution
A method using a linear mathematical battery model within a predefined comparison interval for precise prediction, switching to stored battery data for non-linear ranges to account for production variation and ageing, with continuous updates and reconciliation using weighting factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If multi-dimensional tables with stored measurement data are used to determine the permissible operating range, then the method is simple to implement, but accuracy deteriorates due to production variation and ageing
Solution Approach 1:
The system dynamically adapts the battery model parameters based on the determined state of health (SOH) and state of charge (SOC). The permissible operating range is continuously updated according to the current battery condition, allowing the system to adjust to ageing and production variations. This dynamic adaptation resolves the contradiction by maintaining accuracy over time while keeping the implementation relatively simple.
Solution Approach 2:
The patent changes the parameters of the battery model based on the determined SOH and SOC values. By adjusting model parameters according to the battery's current state, the system maintains accurate predictions of the permissible operating range despite production variations and ageing effects, while avoiding the complexity of completely new measurement approaches.
2Adaptability or versatility
If a mathematical battery model is used to predict permissible operating range, then adaptability to production variation and ageing is improved, but device complexity increases
Solution Approach 1:
The system uses feedback from measured battery parameters (voltage, current, temperature) and determined states (SOC, SOH) to continuously update the model parameters and recalibrate the permissible operating range. This feedback mechanism enables the system to adapt to production variations and ageing without requiring overly complex external calibration procedures.
Solution Approach 2:
The battery management system performs self-calibration by using its own measured data and determined states to adjust the model parameters. The system serves itself by automatically adapting to its own ageing and condition changes without requiring external intervention or complex additional measurement equipment.
3Device complexity
If linear mathematical models are used for battery behavior prediction, then device complexity is reduced, but measurement precision deteriorates in non-linear operating zones
Solution Approach 1:
The patent segments the operating range into different zones (central linear zone and peripheral non-linear zones). By identifying and treating different operating regions separately, the system can use simpler models where appropriate while maintaining accuracy in critical non-linear zones through model parameter adaptation based on SOH and SOC.
Solution Approach 2:
The system changes the parameters of the mathematical model based on the determined battery state (SOH, SOC) and operating conditions. This allows the relatively simple linear model to adapt its behavior to match non-linear characteristics in peripheral zones, maintaining prediction accuracy without requiring a completely complex non-linear model throughout.
Data Source
AI summary
The disclosure relates to a method for ascertaining permissible operating parameters of a battery. For this purpose, operating parameters of the battery are measured, and further relevant operating parameters of the battery are determined from the measured operating parameters. Furthermore, at least one of the determined operating parameters is compared with a predefined comparison range. If the at least one operating parameter lies within the predefined comparison range, the permissible operating range of the at least one operating parameter is determined using a mathematical model of the battery. However, if the at least one battery parameter lies outside the predefined comparison range, the permissible operating range of the at least one operating parameter is determined using previously stored battery data.