特性
- CPU:RL78 核心,最高 32MHz
- 高达 768kB 的闪存和 48kB 的 SRAM
- 内存:SRAM 高达 48KB,程序闪存高达 768KB
- 8KB 数据闪存,用于存储 EEPROM 中的数据
- 可从 30 引脚封装扩展到 128 引脚封装
- 1.6V ~ 5.5V 的超宽工作电压范围
- 增强型电容式感应单元(CTSU2L)
- 定时器:16 位定时器(ch)x 16、8 位定时器、看门狗定时器(ch)x 1、32 位间隔定时器(ch)x 1
- PWM:14 路 PWM 输出
- 模拟功能:12 位 A/D 转换器(ch)x 26、8 位 D/A 转换器(ch)x 2、比较器 x 2
- 片上振荡器 频率(MHz):高速:高达 32MHz
- 中速:高达 4MHz
- 低速:32.768kHz
- SNOOZE 模式排序器
- 逻辑和事件链接控制器
- 其它:RTC、上电复位、低电压检测
- 多种封装选择(LQFP、QFN、LGA、BGA 及 WLCSP)
描述
RL78/G23 微控制器组是 RL78 系列微控制器的新一代产品,CPU 运行电流为 41μA/MHz。 RL78/G23 具有业界内的超低功耗,停止电流为 210nA(SRAM 可保持 4KB 数据),还具有 SNOOZE 模式定序器,可显著降低间歇操作期间的功耗。 RL78/G23 不仅具有超宽的 1.6V 至 5.5V(高达 32MHz)的运作电压范围和广泛的 30 至 128 引脚的封装引脚数范围,还具有高达 768KB 的闪存。 除了增强的模拟和安全功能外,还集成了逻辑和事件链接控制器 (ELCL)以及 RL78 系列中的首个电容式触摸传感单元(CTSU2L)。 此外,RL78/G23 还拥有丰富的开发环境,包括一块快速原型开发板。 该板的图形用户界面(GUI)易于使用,用户只需连接一根 USB 电缆和一个智能配置器,无需任何其他工具,就能编写和调试程序。 RL78/G23 与现有的 RL78 系列兼容,可连贯流畅地进行替代,因此适用于从家用电器和消费电子产品到工业设备的各种应用。
产品参数
属性 | 值 |
---|---|
Program Memory (KB) | 96, 128, 192, 256, 384, 512, 768 |
Data Flash (KB) | 8 |
RAM (KB) | 12, 16, 20, 24, 32, 48 |
Carrier Type | Full Carton (Tray), Full Tray (Tray), Tape & Reel |
Supply Voltage (V) | - |
I/O Ports | 26, 28, 32, 36, 40, 44, 48, 58, 74, 92, 120 |
Temp. Range (°C) | -40 to +85, -40 to +105 |
Operating Freq (Max) (MHz) | 32 |
USB FS (host ch/device ch) | ( 0 / 0 ) |
SCI or UART (ch) | 3, 4, 5, 6 |
SPI (ch) | 3, 4, 5, 6, 8 |
I2C (#) | 4, 5, 6, 7, 8, 10 |
CAN (ch) | 0 |
CAN-FD (ch) | 0 |
Wireless | No |
LIN (#) | 1 |
16-Bit Timer (ch) (#) | 8, 12, 16 |
12-Bit A/D Converter (ch) | 8, 9, 10, 12, 17, 20, 26 |
10-Bit A/D Converter (ch) | 0 |
24-Bit Sigma-Delta A/D Converter (ch) | 0 |
12-Bit D/A Converter (ch) | 0 |
10-Bit D/A Converter (ch) (#) | 0 |
8-Bit D/A Converter (ch) | 2 |
Capacitive Touch Sensing Unit (ch) | 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 20, 22, 30, 32 |
Segment LCD Controller | No |
Security & Encryption | Unique ID,TRNG |
封装选项
Pkg. Type | Pkg. Dimensions (mm) | Lead Count (#) | Pitch (mm) |
---|---|---|---|
HWQFN | 5 x 5 x 0.8 | 32 | 0.5 |
HWQFN | 6 x 6 x 0.8 | 40 | 0.5 |
HWQFN | 7 x 7 x 0.8 | 48 | 0.5 |
LFQFP | 7 x 7 x 1.7 | 48 | 0.5 |
LFQFP | 10 x 10 x 1.7 | 64 | 0.5 |
LFQFP | 12 x 12 x 1.7 | 80 | 0.5 |
LFQFP | 14 x 14 x 1.7 | 100 | 0.5 |
LFQFP | 20 x 14 x 1.6 | 128 | 0.5 |
LQFP | 7 x 7 x 1.7 | 32 | 0.8 |
LQFP | 10 x 10 x 1.6 | 44 | 0.8 |
LQFP | 10 x 10 x 1.7 | 52 | 0.65 |
LQFP | 12 x 12 x 1.6 | 64 | 0.65 |
LQFP | 14 x 14 x 1.7 | 80 | 0.65 |
LQFP | 20 x 14 x 1.6 | 100 | 0.65 |
LSSOP | 9.85 x 6.1 x 1.4 | 30 | 0.65 |
WFLGA | 4 x 4 x 0.76 | 36 | 0.5 |
WFLGA | 5 x 5 x 0.76 | 64 | 0.5 |
应用方框图
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智能家居中央控制箱
智能家居控制箱可集成设备、监控条件并管理照明和家电。
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用于建筑自动化的智能照明系统
带有 DALI-2 和自定义调光的智能照明系统,用于建筑自动化。
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热泵控制系统
该热泵系统具有电机控制 MCU、PLC 和 Wi-Fi 连接功能,可实现最佳性能。
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高效电磁加热器
高效感应技术,可实现快速、均匀的加热,具有节能功能。
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带无线控制的 PC 水冷系统
先进的 PC 水冷器,具有无线控制、散热高效和配置灵活等特点。
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适用于加热和感应场景的多用途驱动电路
用于精确加热、电机控制和功率管理且具有强大保护功能的多用途驱动电路。
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智能垃圾箱
智能垃圾桶可监测环境和垃圾量,并确保高效通信。
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关键电源监测系统
关键电源监测系统采用 NB-IoT 或 Cat-M1、MCU、传感器和备用电池。
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智能太阳能电池充电器
智能太阳能电池充电器可以确保电池的高效使用,防止出现过充,并适应不断变化的输入电压。
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其他应用
- 一般用途
- 消费者应用
- 家电
- 工业自动化
- 建筑自动化
当前筛选条件
筛选
软件与工具
样例程序
模拟模型
This video demonstrates how to import sketches using the RL78 Arduino library into e² studio, as well as how to build and debug them. By debugging in e² studio, you can obtain detailed information and verify the internal workings of the library, which is not possible with the Arduino IDE.
Related Resources
This video demonstrates how to read from and write to an SD card using the RL78/G23-128p Fast Prototyping Board and the SdFat library.
Related Resources
RL78 Arduino Wiki
Video
Software
Hardware
This video introduces how to display data from the HS3001 sensor on the serial monitor of the Arduino IDE using RL78/G23-64p Fast Prototyping Board and HS3001.
Chapter's Title
00:00 Opening
01:08 Board Connections
01:23 Setup of Board Manager
02:14 Sample sketch operation
03:23 Ending
Related Resources
Quick Start Guide
Software
Hardware
This video introduces how to display strings on OLED using RL78/G23-64p Fast Prototyping Board and U8g2 library.
Chapter's Title
00:00 Opening
01:14 Install U8g2 library
01:39 Write the sketch
02:27 Terminal connection
03:02 Compile and upload
03:31 Final chapter
Related Resources
Quick Start Guide
Software
Hardware
This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the "RL78/G23-128p Application Note" for more information.
Chapter's Title
00:00 Opening
00:34 Demo Project Overview and Development Environment
02:11 Hardware Configuration and Connection
03:30 AWS Settings for Uploading Sensor Data
06:05 Demo Project Settings
Related Resources
- Part 1 (this video): Demo Project Overview and Preparations
- Part 2: Running the Demo Project
- RL78/G23 Visualization of Sensor Information with Connecting Amazon Web Services in LTE Communication: RL78/G23-128p Fast Prototyping Board + FreeRTOS Application Note (R20AN0747)
This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the "RL78/G23-128p Application Note" for more information.
Chapter's Title
00:00 Opening
00:33 Terminal Software Settings
01:19 Program the Board with the Initial Image and Run It
03:02 Visualizing Temperature Data with CloudWatch
03:36 OTA Updating the Firmware
6:12 Visualizing Temperature and Humidity Data with CloudWatch
Related Resources
本视频介绍了实现楼宇自动化的智能照明解决方案。通过这个视频,您将了解到照明市场的趋势、照明设计上的需求、以及瑞萨照明解决方案所提供的价值。
访问DALI Solutions页面以获取更多信息。
这个视频介绍了如何使用ChatGPT和RL78 Arduino兼容板进行AI编程,包括点亮7段LED、旋转电机和使用温湿度传感器进行感应等实际例子。即使是初学者也能轻松体验AI编程!
详细的步骤介绍:
使用Chat-GPT为RL78微控制器(Arduino)编写AI代码 | Renesas
相关产品: RL78/G23-64p FPB
相关资源: Quick Start Guide page (GitHub)
Disclaimer:
1. Informational Purposes Only: This video serves as a general guide to using ChatGPT/GPT-4 to write code for an Arduino RL78 evaluation board. Renesas does not guarantee the accuracy or completeness of the content provided.
2. Third-Party Rights Infringement: Note that code generated using ChatGPT/GPT-4 might potentially infringe third-party intellectual property rights. Renesas makes no representations or warranties that the use of ChatGPT/GPT-4 will not violate any third-party rights. Users are urged to exercise due diligence to ensure compliance with applicable laws and third-party rights.
3. No Liability: In no event shall Renesas be liable for any damages, data loss, or other adverse consequences that may occur as a result of using the information, code, techniques, or tools demonstrated in this video. You may want to apply industry standard static and dynamic code assessments as AI code has been recognized to possibly contain malware fragments as well as deriving other unwanted outcomes.
本视频介绍在 RL78/G23-64p 快速原型板上, 如何使用 Arduino IDE 2 运行草图。
相关资源:快速入门指南页面 (GitHub)
00:00 开始
00:43 安装 Arduino IDE
01:13 安装工具
01:36 编写草图
01:56 设置 COM 端口
02:26 设置电路板
02:41 编译、上传、LED 闪烁
This video introduces RL78 LoRa®-based Solution.
It realizes a true low-power wireless IoT system by combination of the world's top-class low power RL78 microcontroller and LoRaWAN®
This video will show you how to set up the RL78 LoRaWAN® Sensor Demo.
Using the RL78 / G23 and LoRaWAN® ecosystem, you can realize both the "LoRaWAN sensor network evaluation" and "IoT system construction using LoRaWAN" with minimal man-hours.
了解更多RL78/G23-64p快速原型开发板的特性,硬件细节和开发环境的软件。
Describes the Snooze mode sequencer (SMS) installed in the RL78/G23.
For more information, please visit www.renesas.com/rl78g23.
Describes the Logic & Event Link Controller (ELCL) installed in the RL78/G23.
Related Resources
See the expanded peripheral functions and ultra low-power performance of the brand-new RL78/G23