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AI-WB2-13U is listed in the RF Transceiver Modules And Modems range at ChipApex. The manufacturer field lists Ai-Thinker. Its product description is RF TXRX MOD BT WIFIIPEX SMD. Review the specifications below when checking this part for your BOM.
The Ai-WB2-13U is a Wi-Fi and Bluetooth Low Energy (BLE) module developed by Ai-Thinker, utilizing the BL602 chip as its core processor. It supports IEEE 802.11 b/g/n protocols for Wi-Fi and BLE 5.0 standards. The module integrates a 32-bit RISC CPU with 276KB of RAM, alongside comprehensive peripheral interfaces including SDIO, SPI, UART, I2C, IR remote, PWM, ADC, DAC, PIR, and GPIO. It features integrated Wi-Fi MAC/BB/RF/PA/LNA/BT components and supports various sleep modes with a deep sleep current of 12μA.
Verify the specific antenna configuration required for the Ai-WB2-13U variant, as the series includes options for onboard antennas or external connectors. Confirm that the selected unit matches the intended firmware version and regulatory certification for the target market. Ensure compatibility with the host system's power supply requirements and interface signals before integration into the final product design.
Choose the Ai-WB2-13U when both Wi-Fi and BLE 5.0 connectivity are required within a compact form factor. This module is suitable for applications needing low-power operation due to its deep sleep current specifications. Developers should consider the available peripheral interfaces like UART and I2C if interfacing with sensors or other microcontrollers is necessary for the project scope.
The Ai-WB2-13U belongs to the Ai-WB2 series of wireless modules from Ai-Thinker Technology Limited. This series is designed to provide versatile wireless connectivity solutions based on the BL602 chip. The module supports secondary development environments for Windows and Linux, facilitating easier integration into various consumer and industrial electronic products requiring robust wireless communication capabilities.
Public confirmed substitute part numbers are not available in the provided documentation. Users should consult official Ai-Thinker resources for potential alternatives within the Ai-WB2 family or other compatible series.
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