Features
- Humidity range: 0% to 100%RH
- RH accuracy: ±1.5%RH, typical
- I2C digital output
- 14-bit resolution
- Fast RH response time: 4 seconds, typical
- Temperature sensor accuracy: ±0.2°C, typical (-10°C to +80°C)
- Low current consumption: 0.3µA average (8-bit resolution, 3.3V supply), 0.62µA average (14-bit resolution, 3.3V supply), one RH and temperature measurement per second
- Excellent stability against aging
Description
The HS4001 is a highly accurate, ultra-low power, fully calibrated relative humidity and temperature sensor. The MEMS sensor features a proprietary sensor-level protection ensuring high reliability and long-term stability. The HS4001 is fully calibrated and temperature compensated with an I2C digital output.
| Part Number | Status | Samples | Stock | Package | Lead Count (#) | Carrier Type | Moisture Sensitivity Level (MSL) | Pb (Lead) Free | Pb Free Category | Temp. Range (°C) |
|---|---|---|---|---|---|---|---|---|---|---|
| HS4001 | Obsolete | N/A | In Stock | LGA | 8# | Cut Tape | 3 | Yes | e4 Au | -40 to 125°C |
Filters
Applied Filters
- End Of Life NoticePDF 748 KB Apr 15, 2025
- Application NotePDF 1.81 MB R36AN0021EU0100 Rev.1.00 Jan 14, 2025AI-generated Summary: Optimal methods for measuring and evaluating polymer-based capacitive relative humidity (RH) and temperature (T) sensors in the HSx series focus on ensuring accurate, stable, and reliable sensor performance. Key practices include using temperature/humidity-controlled chambers, precise calibration with traceable reference instruments, proper sensor placement, and adequate air circulation. Testing involves controlled RH and temperature profiles, sensor conditioning, and data logging at 1Hz with averaging to reduce noise. Performance metrics like RMSE and mean error help analyze sensor accuracy. The document also addresses troubleshooting common issues such as temperature offsets and humidity variations due to environmental or PCB factors.
- Application NotePDF 131 KB R36AN0017EU0100 Rev.1.00 Nov 17, 2023AI-generated Summary: Temperature and relative humidity readings from HS sensors on PCBs can be affected by heat generated by nearby components and limited ventilation. Compensation involves measuring the sensor temperature and environmental temperature with an external calibrated sensor, then correcting the sensor output by subtracting the heating effect. Relative humidity compensation requires calculating saturation vapor pressures at both measured and corrected temperatures, then adjusting the humidity reading accordingly. Equations and examples demonstrate how to apply these corrections to improve accuracy in environments where PCB heat influences sensor readings.
- Product Change NoticePDF 368 KB Jul 26, 2023
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 1.81 MB R36AN0021EU0100 Rev.1.00 Jan 14, 2025AI-generated Summary: Optimal methods for measuring and evaluating polymer-based capacitive relative humidity (RH) and temperature (T) sensors in the HSx series focus on ensuring accurate, stable, and reliable sensor performance. Key practices include using temperature/humidity-controlled chambers, precise calibration with traceable reference instruments, proper sensor placement, and adequate air circulation. Testing involves controlled RH and temperature profiles, sensor conditioning, and data logging at 1Hz with averaging to reduce noise. Performance metrics like RMSE and mean error help analyze sensor accuracy. The document also addresses troubleshooting common issues such as temperature offsets and humidity variations due to environmental or PCB factors.
- Application NotePDF 131 KB R36AN0017EU0100 Rev.1.00 Nov 17, 2023AI-generated Summary: Temperature and relative humidity readings from HS sensors on PCBs can be affected by heat generated by nearby components and limited ventilation. Compensation involves measuring the sensor temperature and environmental temperature with an external calibrated sensor, then correcting the sensor output by subtracting the heating effect. Relative humidity compensation requires calculating saturation vapor pressures at both measured and corrected temperatures, then adjusting the humidity reading accordingly. Equations and examples demonstrate how to apply these corrections to improve accuracy in environments where PCB heat influences sensor readings.
Application Notes & White Papers (2)
- End Of Life NoticePDF 748 KB Apr 15, 2025
- Product Change NoticePDF 368 KB Jul 26, 2023
Product Notices (PCN, EOL, etc) (2)
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News & Blog Posts
Support Communities
-
I2C connection issues arduino on esp32 for humidity sensors HS4001 hs4011
Hi, I am trying to read an HS4011/HS4011 using the arduino environment on an esp32. The sensor is connected on a bus with an eeprom and mcp9600 both I can correctly read/write. The sensor is working when I plug it in de evaluation kit HS4000-EVK ...
Jun 8, 2023 -
Issue with HS4001 Sensor Communication using IIC Master on RA2E1
3010.I2C_IIC_example.zip Hi, I am currently working on interfacing the HS4001 temperature and humidity sensor with the RA2E1 microcontroller using the IIC (I2C) Master driver from FSP. However, I am facing an issue where I am unable to read data from the sensor. The communication is failing ...
Apr 17, 2026 -
FSP_ERR_ABORTED on various sensors(HS4001 and zmod4510) with various RA microcontrollers
So i fetched myself a zmod4510 senser evaluation kit in the PMOD form factor and a HS4001 also in pmod form factor, unfortunately i cant get them to work, i've tried multiple FSP's (namely v4.5 and v5.1), i've tried multiple boards, RA6M3 and RA6M5 , i ...
Dec 22, 2023