SLUUCW4 November   2023 BQ27Z558

 

  1.   1
  2.   Description
  3.   Features
  4.   Applications
  5.   5
  6. 1Evaluation Module Overview
    1. 1.1 Introduction
    2. 1.2 Kit Contents
    3. 1.3 Specification
    4. 1.4 Device Information
  7. 2Hardware
    1. 2.1 Hardware Setup
      1. 2.1.1 Hardware Requirements
      2. 2.1.2 Connecting the BQ27Z558 Circuit Module to a Battery Pack
      3. 2.1.3 EVM Jumpers Description
    2. 2.2 Chemical ID
      1. 2.2.1 Chemical ID Selection Process Description
      2. 2.2.2 Hardware Requirements and Setup
      3. 2.2.3 Logging Data in bqStudio
      4. 2.2.4 GPCChem Tool
      5. 2.2.5 Programming a Chemical ID
      6. 2.2.6 Further Resources for Chemical ID Process
    3. 2.3 Calibrating Gauge Measurements
      1. 2.3.1 Voltage Calibration
      2. 2.3.2 Current Calibration
    4. 2.4 Learning Cycle and Golden Image
      1. 2.4.1 Learning Cycle Process Description
      2. 2.4.2 Data Memory Configuration
      3. 2.4.3 Learning Cycle Steps
      4. 2.4.4 Low Temperature Optimization
      5. 2.4.5 Creating the Golden Image File
      6. 2.4.6 Programming the Golden Image File
    5. 2.5 BQ27Z558-Based Circuit Module
      1. 2.5.1 Circuit Module Connections
      2. 2.5.2 Pin Description
  8. 3Software
    1. 3.1 Software Setup
      1. 3.1.1 System Requirements
      2. 3.1.2 Software Installation
    2. 3.2 Troubleshooting Unexpected Dialog Boxes
    3. 3.3 Using bqStudio
      1. 3.3.1 Starting the Program
      2. 3.3.2 Setting Programmable BQ27Z558 Options
    4. 3.4 Gauge Communication
      1. 3.4.1 Advanced Communication in bqStudio
      2. 3.4.2 Standard Data Commands
      3. 3.4.3 Manufacturer Access Commands
      4. 3.4.4 Further Resources on Gauge Communication
  9. 4Hardware Design Files
    1. 4.1 Schematic
    2. 4.2 PCB Layout
    3. 4.3 Bill of Material
  10. 5Additional Information
    1.     Trademarks

Learning Cycle and Golden Image

The learning cycle process is the initial optimization that Impedance Track gauges perform to verify accuracy of the gauge in reporting state of charge. The learning cycle allows the gauge to learn the resistance and maximum chemical capacity of a specific battery to verify accuracy as the cell ages. A correct ChemID, with less than 3% of error, is necessary to be identified and programmed into the gauge before attempting a learning cycle.