R5F566TKBGFP#30

Renesas Electronics
968-R5F566TKBGFP30
R5F566TKBGFP#30

Mfr.:

Description:
32-bit Microcontrollers - MCU 32BIT MCU RX66T-H 1024K/128K QFP100

ECAD Model:
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In Stock: 265

Stock:
265 Can Dispatch Immediately
Factory Lead Time:
14 Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
-,-- €
Ext. Price:
-,-- €
Est. Tariff:

Pricing (EUR)

Qty. Unit Price
Ext. Price
10,96 € 10,96 €
8,90 € 89,00 €
8,49 € 212,25 €
7,37 € 663,30 €
7,03 € 1.898,10 €
6,42 € 3.466,80 €
5,62 € 6.069,60 €
2.520 Quote

Product Attribute Attribute Value Select Attribute
Renesas Electronics
Product Category: 32-bit Microcontrollers - MCU
RoHS:  
RX66T
SMD/SMT
LFQFP-100
RXv3
1 MB
128 kB
32 bit
12 bit
160 MHz
73 I/O
2.7 V
5.5 V
- 40 C
+ 105 C
Tray
Brand: Renesas Electronics
Country of Assembly: Not Available
Country of Diffusion: Not Available
Country of Origin: CN
DAC Resolution: 12 bit
Data RAM Type: SRAM
Data ROM Size: 32 kB
Data ROM Type: ROM
Interface Type: CAN, I2C, SCI, SMBus, SPI
Number of ADC Channels: 22 Channel
Number of Timers/Counters: 4 x 8 bit, 2 x 16 bit
Processor Series: RX66T
Product: MCUs
Product Type: 32-bit Microcontrollers - MCU
Program Memory Type: Flash
Factory Pack Quantity: 90
Subcategory: Microcontrollers - MCU
Watchdog Timers: Watchdog Timer
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Attributes selected: 0

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TARIC:
8542319000
CNHTS:
8542319090
CAHTS:
8542310000
USHTS:
8542310025
ECCN:
3A991.a.2

RX66T 32-Bit MCUs

Renesas RX66T 32-Bit MCUs are the first members of Renesas flagship 32-bit RX MCU family based on the third-generation RXv3 CPU core. These MCUs are optimized for motor control and address real-time performance and enhanced stability. These are helpful for inverter control in next-generation smart factory equipment and smart home appliances. These MCUs also provide the extra processing capacity needed for embedded AI in next-generation designs. The RX66T MCU series help further accelerate the use of intelligent endpoints using real-time e-AI performance to drive smarter appliances and improve production efficiency in smart factories.