R7FA2E1A93CNE#HA0 - Renesas

Manufacturer Part Number

R7FA2E1A93CNE#HA0

Manufacturer

Renesas Electronics America

Introduction

The R7FA2E1A93CNE#HA0 is a powerful 32-bit ARM Cortex-M23 based microcontroller from Renesas Electronics. It offers a wide range of features and peripherals, making it suitable for a variety of embedded applications.

Product Features and Performance

32-bit ARM Cortex-M23 core operating at up to 48MHz

128KB of flash program memory

16KB of RAM

Connectivity options including I2C, SmartCard, SPI, and UART/USART

Integrated peripherals such as AES, DMA, LVD, POR, PWM, temperature sensor, TRNG, and WDT

37 GPIO pins

Wide supply voltage range of 1.6V to 5.5V

13-channel 12-bit ADC

Product Advantages

Robust and reliable performance

Extensive connectivity and peripheral options

Low power consumption

Wide operating temperature range of -40°C to 105°C

Key Reasons to Choose This Product

Powerful 32-bit ARM Cortex-M23 core for efficient processing

Flexible peripheral set for diverse application requirements

Compact and energy-efficient design

Reliable and long-lasting operation in challenging environments

Quality and Safety Features

Designed and manufactured to Renesas' high quality standards

Integrated safety features such as power-on reset (POR) and low voltage detect (LVD)

Supports secure applications with hardware-based cryptographic acceleration

Compatibility

The R7FA2E1A93CNE#HA0 is part of the RA2E1 series and is compatible with other models within this series.

Application Areas

Industrial automation and control

IoT and smart home applications

Wearable and portable devices

Medical and healthcare equipment

Transportation and automotive systems

Product Lifecycle

The R7FA2E1A93CNE#HA0 is an active product in our website's sales team's portfolio. There are no immediate plans for discontinuation, and our website's sales team continues to provide support and development resources for this microcontroller series. Customers should contact our website's sales team for information on any potential equivalent or alternative models that may become available in the future.