Power Tips: USB Power Delivery for Automotive Systems
Robert Taylor, Applications Manager, Texas Instruments
EETimes (10/13/2016 11:54 AM EDT)
The new USB Type-C standard has a power delivery portion that could enable portable devices to charge faster.
One of the most exciting aspects of the new USB Type-C standard is the power delivery portion. With USB Power Delivery, devices can negotiate for more power, thus enabling features that were previously not possible. Portable devices like phones, tablets and laptops will be able to charge faster. Higher-power devices like monitors will be able to receive both power and data over the same cable.
The number of devices and hosts is still relatively low, but momentum is building. As the popularity of USB Type-C devices increases, consumers will want to use them at home as well as on the go, particularly in automobiles.
Automotive systems have a unique set of requirements and design obstacles beyond the requirements for USB Power Delivery. Table 1 shows the typical voltages in automotive systems.
To read the full article, click here
Related Semiconductor IP
- USB Power Delivery 3.1 Physical Layer
- Complete USB Type-C Power Delivery IP
- Fully Self-contained Single/Multi Port USB Type-C Power Delivery IP
- USB Type-C and Power Delivery Verification IP
- USB 4.0 - Enables fast data transfer, efficient power delivery, and connectivity
Related Articles
- USB Power Delivery 2.0 Enables Power Distribution Flexibility
- USB Type-C and power delivery 101 - Ports and connections
- USB Type-C and power delivery 101 - Power delivery protocol
- System configurations for power systems based on PMBus 1.3
Latest Articles
- Extending and Accelerating Inner Product Masking with Fault Detection via Instruction Set Extension
- ioPUF+: A PUF Based on I/O Pull-Up/Down Resistors for Secret Key Generation in IoT Nodes
- In-Situ Encryption of Single-Transistor Nonvolatile Memories without Density Loss
- David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
- RoMe: Row Granularity Access Memory System for Large Language Models