Battery Cell Temperature Estimation Using Gas Gauge Heat Transfer

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Solution Overview

Problem

Traditional systems for estimating battery cell temperature are either expensive due to the use of temperature sensors or inaccurate and error-prone when inferring temperature based on other characteristics.

Innovation Solution

A battery management system that uses processing circuitry to determine an estimated battery cell temperature through models incorporating battery voltage, open-circuit voltage, current measurements, and gas gauge temperature, reducing the need for explicit temperature sensors and improving accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a battery cell temperature sensor is used to detect the battery cell temperature, then the temperature measurement accuracy is improved, but the cost increases and the battery volume increases

Engineering Contradiction:
Improvebattery cell temperature measurement accuracyVSAvoidcost and volume efficiency
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent introduces a gas gauge temperature sensor as an intermediary component that indirectly measures battery cell temperature through heat transfer modeling. Instead of placing a temperature sensor directly on the battery cell, the system uses a temperature sensor in the gas gauge and mathematical models (heat generation models and heat transfer models) to estimate the battery cell temperature. This intermediary approach avoids the need for expensive and space-consuming direct temperature sensors while maintaining measurement accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the direct mechanical/physical temperature sensing system with a computational modeling system. Instead of using a temperature sensor in direct thermal contact with the battery cell (mechanical thermal coupling), the system uses electrical measurements (voltage, current) combined with thermal modeling algorithms to calculate temperature. This substitution of physical measurement with computational estimation reduces hardware complexity, cost, and volume.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Temperature

If traditional temperature sensing methods are used, then temperature measurement is achieved, but the energy density of the battery decreases due to increased volume

Engineering Contradiction:
Improvebattery cell temperature detectionVSAvoidenergy density
Core Design Contradiction:
TemperatureVSQuantity of substance

Solution Approach 1:

The patent extracts the temperature sensing function from the battery cell structure itself and relocates it to the gas gauge system. By removing the need for a dedicated temperature sensor on or near the battery cell, the battery's active material volume can be maximized without compromise for temperature monitoring, thereby preserving energy density.

Inventive Principle:
Principle #2Taking out (Extraction)

3Reliability

If battery cell temperature is inferred based on various characteristics in traditional systems, then the cost is reduced, but the accuracy and reliability of temperature estimation deteriorates

Engineering Contradiction:
Improvecost efficiencyVSAvoidtemperature estimation accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent implements a feedback-based temperature estimation system where the gas gauge temperature sensor continuously monitors temperature, and this measurement feeds into heat transfer models that are continuously updated based on battery operating conditions (voltage, current, state of charge). The system uses feedback from multiple sources (electrical measurements and thermal measurements) to continuously refine the temperature estimation, improving accuracy over simple one-time inference methods.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent creates a composite estimation approach by combining multiple types of data (electrical measurements of voltage and current, gas gauge temperature sensor readings) with multiple mathematical models (heat generation models, heat transfer models) to produce a unified temperature estimation. This composite method leverages the strengths of different measurement and modeling approaches to achieve higher accuracy than any single method alone.

Inventive Principle:
Principle #40Composite materials

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach reduces costs, minimizes battery volume, and enhances energy density while providing a more accurate estimation of battery cell temperature.

Implementation Method 1

During discharge and/or recharging, the battery cell may produce heat that can affect characteristics (e.g., performance, lifespan, or structure) of the battery and/or the electric device

Methodology Applied
Scientific EffectJoule heating: Joule Heating

Implementation Method 2

a battery and gas gauge heat transfer model that receives a fourth input indicative of a gas gauge temperature measurement

Methodology Applied
Scientific EffectHeat transfer: Conduction (thermal)

Data Source

PatentUS20230402668A1Systems and methods for estimating battery temperature
Publication Date: 2023.12.14 APPLE INC
  • US20230402668A1 patent drawing
  • US20230402668A1 patent drawing
  • US20230402668A1 patent drawing

AI summary

A battery includes a battery cell and processing circuitry. The processing circuitry is configured to determine an estimated temperature of the battery cell as a function of various models. The models include a battery cell heat generation model that receives a first input indicative of a battery voltage measurement, a second input indicative of a voltage corresponding to a battery open-circuit voltage (OCV) model, and a third input indicative of a battery current measurement. The models also include a gas gauge and system heat generation model that receives the third input. The models also include a battery and gas gauge heat transfer model that receives a fourth input indicative of a gas gauge temperature measurement.