Vendor: Dolphin Semiconductor Category: DC/DC Converter

Nano power DC-DC converter in TSMC 22ULL with ultra-low quiescent current and high efficiency at light load

Nano power DC-DC converter in TSMC 22ULL with ultra-low quiescent current and high efficiency at light load, supporting 1.62V to …

TSMC 22nm ULL Pre-Silicon View all specifications

Overview

Nano power DC-DC converter in TSMC 22ULL with ultra-low quiescent current and high efficiency at light load, supporting 1.62V to 3.63V input voltage

Key features

  • Ultra-low quiescent current to ensure minimum current consumption in deep sleep / hibernation mode
  • High efficiency at light load to extend battery lifetime
  • Low ripple value to supply noise sensitive and RF loads
  • 1 uH inductor
  • Ultra-small area for reduced silicon cost

Silicon Options

Foundry Node Process Maturity
TSMC 22nm ULL Pre-Silicon

Specifications

Identity

Part Number
DCDC-ULP-T22-1.62-3.63-0.6-2.5.02_TSMC_22_ULL
Vendor
Dolphin Semiconductor
Type
Silicon IP

Files

Note: some files may require an NDA depending on provider policy.

Provider

Dolphin Semiconductor
HQ: France
Dolphin Semiconductor is a leading provider of semiconductor IP solutions, specializing in IP design. We excel in crafting high-performance audio IP, analog/mixed-signal IP, and comprehensive silicon platforms. Our offerings include semiconductor IP cores and design expertise, tailored for mobile devices, consumer electronics, automotive systems, and IoT applications. By prioritizing energy efficiency in our designs, we enable longer battery life and lower power consumption, contributing to sustainable and eco-friendly technology solutions. Utilizing our deep understanding of silicon technology, we guide our clients from concept to market-leading products.

Learn more about DC/DC Converter IP core

Breaking new energy efficiency records with advanced power management platform

The free lunch offered for decades by Moore’s law is now over and scaling down to the next technology node no longer offers the required energy efficiency gains. Design teams must now pursue their gains by deploying increasingly complex power management techniques to meet the demands of the new IoT markets.

Pairing Sensitive RF with Voltage Regulators for Noise-Free IoT Modules

This article presents the challenge of pairing an RF analog circuit with the appropriate inductor-based embedded Switching Regulator (namely eSR, equivalent to on-board DC/DC) allowing to meet both the power efficiency requirements and the module performance level at the same time.

Guide to Choosing the Best DCDC Converter for Your Application

This white paper introduces a procedure for choosing the proper DCDC switching converter for a given application. It explains basic, performance, and optional metrics in detail. It also demonstrates other practical aspects that are sometimes overlooked by system designers. Multiple application examples are provided.

How to simplify switch-mode DC-DC converter design

This article focuses on the design issues that are simplified by including an integrated inductor optimized for a range of electrical and layout applications as part of the power management solution

Frequently asked questions about DC-DC Converter IP cores

What is Nano power DC-DC converter in TSMC 22ULL with ultra-low quiescent current and high efficiency at light load?

Nano power DC-DC converter in TSMC 22ULL with ultra-low quiescent current and high efficiency at light load is a DC/DC Converter IP core from Dolphin Semiconductor listed on Semi IP Hub. It is listed with support for tsmc Pre-Silicon.

How should engineers evaluate this DC/DC Converter?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this DC/DC Converter IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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