SLPS327B September   2012  – April 2018 CSD86360Q5D

PRODUCTION DATA.  

  1. 1Features
  2. 2Applications
  3. 3Description
    1. 3.1 Top View
      1.      Device Images
  4. 4Revision History
  5. 5Specifications
    1. 5.1 Absolute Maximum Ratings
    2. 5.2 Recommended Operating Conditions
    3. 5.3 Power Block Performance
    4. 5.4 Thermal Information
    5. 5.5 Electrical Characteristics
    6. 5.6 Typical Power Block Device Characteristics
    7. 5.7 Typical Power Block MOSFET Characteristics
  6. 6Application and Implementation
    1. 6.1 Application Information
      1. 6.1.1 Equivalent System Performance
      2. 6.1.2 Power Loss Curves
      3. 6.1.3 Safe Operating Area (SOA) Curves
      4. 6.1.4 Normalized Curves
    2. 6.2 Typical Application
      1. 6.2.1 Design Example: Calculating Power Loss and SOA
        1. 6.2.1.1 Operating Conditions
        2. 6.2.1.2 Calculating Power Loss
        3. 6.2.1.3 Calculating SOA Adjustments
  7. 7Layout
    1. 7.1 Layout Guidelines
      1. 7.1.1 Electrical Performance
      2. 7.1.2 Thermal Performance
    2. 7.2 Layout Example
  8. 8Device and Documentation Support
    1. 8.1 Documentation Support
      1. 8.1.1 Related Documentation
    2. 8.2 Receiving Notification of Documentation Updates
    3. 8.3 Community Resources
    4. 8.4 Trademarks
    5. 8.5 Electrostatic Discharge Caution
    6. 8.6 Glossary
  9. 9Mechanical, Packaging, and Orderable Information
    1. 9.1 Q5D Package Dimensions
    2. 9.2 Land Pattern Recommendation
    3. 9.3 Stencil Recommendation
    4. 9.4 Q5D Tape and Reel Information

Package Options

Mechanical Data (Package|Pins)
  • DQY|8
Thermal pad, mechanical data (Package|Pins)
Orderable Information

Design Example: Calculating Power Loss and SOA

The user can estimate product loss and SOA boundaries by arithmetic means (see Operating Conditions section). Though the power loss and SOA curves in this data sheet are taken for a specific set of test conditions, the following procedure will outline the steps the user should take to predict product performance for any set of system conditions.