SLVUDW8 May   2026

 

  1.   1
  2.   Description
  3.   Features
  4.   4
  5. Evaluation Module Overview
    1. 1.1 Introduction
    2. 1.2 Kit Contents
    3. 1.3 Specifications
    4. 1.4 Device Information
  6. Hardware Setup
    1. 2.1 Hardware Requirements
    2. 2.2 Connecting the BQ27Z846 Circuit Module to a Battery Pack
    3. 2.3 EVM Jumpers and Terminal Block Description
  7. Software Setup
    1. 3.1 System Requirements
    2. 3.2 Software Installation
    3. 3.3 Updating Firmware
    4. 3.4 Troubleshooting Unexpected Dialog Boxes
    5. 3.5 Using bqStudio
      1. 3.5.1 Starting the Program
      2. 3.5.2 Setting Programmable BQ27Z846 Options
  8. Calibrating Gauge Measurements
    1. 4.1 Voltage Calibration
    2. 4.2 Current Calibration
  9. Chemical ID
    1. 5.1 Chemical ID Selection Process
    2. 5.2 Hardware Requirements and Setup
    3. 5.3 Logging Data in bqStudio
    4. 5.4 GPCCHEM Tool
    5. 5.5 Programming a Chemical ID
    6. 5.6 Further Resources for Chemical ID Process
  10. Learning Cycle and Golden Image
    1. 6.1 Learning Cycle Process Description
    2. 6.2 Data Memory Configuration
    3. 6.3 Learning Cycle Steps
    4. 6.4 Low Temperature Optimization
    5. 6.5 Creating the Golden Image File
    6. 6.6 Programming the Golden Image File
  11. Gauge Communication
    1. 7.1 Advanced Communication in bqStudio
    2. 7.2 Standard Data Commands
    3. 7.3 Manufacturer Access Commands
    4. 7.4 Further Resources on Gauge Communication
  12. BQ27Z846-Based Circuit Module
    1. 8.1 Circuit Module Connections
    2. 8.2 Pin Descriptions
  13. Hardware Design Files
    1. 9.1 Board Layout
    2. 9.2 Schematic
    3. 9.3 Bill of Materials
  14. 10Additional Information
    1.     Trademarks
  15. 11Revision History

Learning Cycle and Golden Image

The learning cycle process is the initial optimization that Dynamic Z-Track™ gauges perform to support the accuracy of the gauge in reporting state of charge. The learning cycle allows the gauge to learn a specific battery's resistance and maximum chemical capacity, helping to maintain accuracy as the cell ages. Identifying and programming a correct ChemID, with less than 3% of error, into the gauge before attempting a learning cycle is necessary