Vehicle Energy Storage Aging Monitoring for Reliable Safety Loads

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Solution Overview

Problem

Existing methods for monitoring energy storage devices in vehicles do not adequately account for aging mechanisms, particularly the loss of active mass, which affects the reliability and safety of safety-relevant consumers during automated driving.

Innovation Solution

A method that maps the aging of energy storage devices as an internal state variable, using current-time throughput and load profiles to predict performance, adjusting state variables for accurate prognosis, and implementing a charge correction to ensure reliable energy supply to safety-critical components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If aging mechanisms are not accounted for in performance prediction, then the monitoring system remains simple, but the accuracy and reliability of safety-relevant consumer supply deteriorates

Engineering Contradiction:
Improvereliability of safety-relevant consumer supplyVSAvoidcomplexity of monitoring system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by introducing aging variables (such as loss of active mass) that modify the performance prediction parameters over time. The characteristic variables used for predicting energy storage device performance are adjusted as functions of aging, allowing the system to account for degradation without requiring a completely new monitoring architecture. This resolves the contradiction by improving reliability through parameter adaptation while maintaining the existing system framework.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If aging is determined using simple current-time throughput, then the determination process remains simple, but the precision of aging assessment deteriorates

Engineering Contradiction:
Improveprecision of aging assessmentVSAvoidcomplexity of aging determination
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements feedback by continuously determining aging based on current-time throughput and using this aging information to adjust the characteristic variables for performance prediction. The system creates a closed-loop where aging assessment results feed back into the prediction model, improving measurement precision through iterative refinement while keeping the determination process relatively simple by building upon existing current measurement capabilities.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If state variables are adjusted without considering aging, then the prediction process remains simple, but the accuracy of performance prognosis deteriorates

Engineering Contradiction:
Improveaccuracy of performance prognosisVSAvoidcomplexity of state variable adjustment
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by determining the aging of the energy storage device before using it to adjust state variables for performance prediction. By calculating aging based on current-time throughput in advance, the system prepares corrected characteristic variables that account for degradation effects. This approach improves prognosis accuracy by incorporating aging effects beforehand while maintaining a straightforward two-step process that does not significantly increase system complexity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250277867A1Method for monitoring an energy storage device in a motor vehicle
Publication Date: 2025.09.04 ROBERT BOSCH GMBH
  • US20250277867A1 patent drawing
  • US20250277867A1 patent drawing
  • US20250277867A1 patent drawing

AI summary

A method for monitoring an energy storage device in a motor vehicle. The energy storage device supplies at least one in particular safety-relevant consumer, wherein at least one characteristic variable of the energy storage device describing the performance of the energy storage device is predicted, wherein at least one measured variable of the energy storage device is acquired and at least one state variable of the energy storage device is ascertained as a function of at least the measured variable, wherein the characteristic variable is predicted as a function of at least one state variable, wherein at least one aging of the energy storage device is ascertained by recording the current that has so far been drawn from the energy storage device, wherein the characteristic variable is ascertained as a function of the aging.