EV Battery Monitoring for Predictive Replacement Timing

Solution Overview

Problem

Existing technologies do not effectively utilize data from networked electric vehicles to determine the optimal time for battery exchange or maintenance, leading to inefficient cost planning and vehicle utilization.

Innovation Solution

A procedure that includes determining key energy-related metrics, creating usage certificates, and generating workshop certificates to provide recommendations for action regarding battery exchange or maintenance, ensuring accurate cost planning and vehicle readiness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If battery replacement is delayed until regular inspection, then vehicle operating costs are reduced, but vehicle availability and productivity are worsened due to unexpected battery failure

Engineering Contradiction:

Improveoperating costsVSAvoidvehicle availability

Core Design Contradiction:

Loss of energyVSProductivity

Solution Approach 1:

The system performs preliminary monitoring and analysis of battery parameters (temperature, voltage, current, state of charge) to predict future battery condition and recommend replacement timing in advance, allowing proactive scheduling of maintenance before actual battery failure occurs

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors battery parameters and provides feedback through usage certificates and workshop certificates that inform users about battery health status and recommended actions, enabling data-driven decisions on when to replace the battery

Inventive Principle:

Principle #23Feedback

2Productivity

If battery replacement is performed early based on conservative estimates, then vehicle availability is improved, but operating costs are worsened due to premature replacement

Engineering Contradiction:

Improvevehicle availabilityVSAvoidoperating costs

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary monitoring and analysis of battery parameters (temperature, voltage, current, state of charge) to predict future battery condition and recommend replacement timing in advance, allowing proactive scheduling of maintenance before actual battery failure occurs

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors battery parameters and provides feedback through usage certificates and workshop certificates that inform users about battery health status and recommended actions, enabling data-driven decisions on when to replace the battery

Inventive Principle:

Principle #23Feedback

3Measurement precision

If detailed monitoring of multiple battery parameters is implemented, then measurement precision is improved, but device complexity is worsened

Engineering Contradiction:

Improvebattery state assessment accuracyVSAvoidmonitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The monitoring system is segmented into modular components: a battery management system that collects parameters, a certificate generation module that processes data, and a recommendation engine that provides insights. This modular architecture reduces overall system complexity while maintaining comprehensive monitoring capabilities

Inventive Principle:

Principle #1Segmentation

Data Source

PatentEP4534322A1Method for monitoring and monitoring an electrochemical energy store of an electrically driven vehicle

Publication Date: 2025.04.09 ROBERT BOSCH GMBH

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AI summary

Method, in particular a computer-implemented method, for monitoring and tracking an electrochemical energy storage device of an electrically powered vehicle.