BMP388

Part: BMP388 — Bosch Sensortec

Type: Digital Barometric Pressure Sensor

Description: Digital pressure and temperature sensor with a 300–1250 hPa range, ±50 Pa typical absolute accuracy, 1.65–3.6 V supply and 3.4 μA current at 1 Hz, in a 2.0 × 2.0 mm LGA package.

Operating Conditions:

• Supply voltage: VDD 1.65–3.6 V; VDDIO 1.2–3.6 V
• Operating temperature: -40 to +85 °C (full accuracy 0 to +65 °C)
• Operating pressure range (full accuracy): 300–1250 hPa

Absolute Maximum Ratings:

• Max supply voltage (VDD and VDDIO pins): 3.8 V
• Voltage at any interface pin: VDDIO + 0.3 V (min Vss - 0.3 V)
• Storage temperature: -45 to +85 °C (≤ 65% rel. H.)
• Overpressure survivability: 2,000,000 Pa
• Mechanical shock: 12000 g
• ESD: HBM Class 2 (2 kV); CDM Class C2a (500 V to <750 V)

Key Specs:

• Sleep current: 2 μA typ. (VDD = VDDIO = 1.8–3.6 V)
• Peak current during pressure measurement: 700 μA typ., 800 μA max
• Current at temperature measurement: 300 μA typ., 400 μA max
• Relative pressure accuracy: ±0.08 hPa typ. (900–1100 hPa, 25–40 °C)
• Absolute pressure accuracy: ±0.50 hPa typ. (300–1100 hPa, -20 to 65 °C)
• Temperature coefficient offset: ±0.75 Pa/K typ. (700–1100 hPa, 0–55 °C)
• Pressure noise: 1.2 Pa full bandwidth; 0.03 Pa at lowest bandwidth (highest resolution)
• Temperature absolute accuracy: ±0.3 °C typ. @25 °C; ±0.50 °C typ. (0 to 65 °C)
• Long-term stability: ±0.33 hPa typ. (12 months)
• Start-up time: 2 ms max

Features:

• I²C (up to 3.4 MHz) and SPI (3- and 4-wire, up to 10 MHz) interfaces
• Integrated 512-byte FIFO
• Data-ready, FIFO watermark and FIFO full interrupts
• Built-in IIR filter (coefficient 0 to 127)
• Oversampling of 0 to 32× for pressure and temperature, independently selectable
• Sleep, forced and normal power modes
• Hardware synchronization with external sensors
• RoHS compliant, halogen-free, MSL1

Applications:

• Drones and flying toys
• Vertical velocity indication
• Internet of things
• GPS navigation enhancement
• Indoor navigation (floor and elevator detection)
• Outdoor, leisure and sports navigation
• Weather forecasting and home weather stations
• Health care and fitness applications
• AR/VR
• Context awareness
• Mobile phones, tablets and watches

Package:

• 10-pin metal-lid LGA, 2.0 × 2.0 × 0.75 mm (max 0.8 mm height)

Table 1: Key Features of BMP388

BMP388 enables accurate altitude tracking and is specifically suited for drone applications. The best-in-class TCO between -20-65°C for accurate altitude measurement over a wide temperature range of the BMP388 greatly enhance the drone flying experience by making accurate steering easier. It is compatible for use with other Bosch sensors, including the new BMI088 for better performance, robustness and stability. The new BMP388 sensor offers outstanding design flexibility, providing a single package solution that can also be easily integrated into other existing and upcoming devices such as smart homes, industrial products and wearables.

The sensor is more accurate than its predecessor BMP280, covering a wide measurement range from 300 hPa to 1250 hPa.

This new barometric pressure sensor exhibits an attractive price-performance ratio coupled with low power consumption.

It is available in a compact 10-in 2.0 x 2.0 x 0.75 mm³ LGA package with metal lid

Due to the built-in hardware synchronization of the pressure sensor data and its ability to synchronize data from external devices such as acceleration sensors, the BMP388 is ideally suited for fitness and navigation applications which require highly accurate, low power and low latency sensor data fusion.

The new interrupt functionality provides simple access to data and storage. Examples of interrupts than can be used in a power efficient manner without using software algorithms include: Data ready interrupt, watermark interrupt (on byte level) or FIFO full interrupt.

BMP388 also includes a new FIFO functionality. This greatly improves ease of use while helping to reduce power consumption of the overall device system during full operation. The integrated 512 byte FIFO buffer supports low power applications and prevents data loss in non-real-time systems.

• Vertical velocity indication (e.g. rise/sink speed)
• Internet of things
• Enhancement of GPS navigation (e.g. time-to-first-fix improvement, dead-reckoning, slope detection)
• Indoor navigation & localization (floor detection, elevator detection)
• Outdoor navigation, leisure and sports applications
• Weather forecast
• Health care applications (e.g. spirometry)
• Fitness applications like enhancement of calorie detection
• AR & VR applications
• Context awareness

The interrupt pin / pad is configured by the Bits in the 'INT_CTRL' register (see 4.3.14). However, the status bits are not influenced thereby.

The output mode of the INT pad is controlled by int_od bit:

Table 18: int_od

The level of the interrupt pad can be configured and switched by int_level between active low and active high:

Table 19: int_level

The latching of interrupts for INT pad and INT_STATUS register can be enabled by int_latch='1' or disabled by int_latch='0' .

FIFO interrupts are mapped to the INT pad by enabling the respective functions. For mapping FIFO watermark reached interrupt to the pad, the fwtm_en bit shall be written to '1' (disabling by '0'). The FIFO full interrupt can be mapped by writing ffull_en with '1').

The absolute maximum ratings are provided in Table 3 .

Table 3: Absolute maximum ratings

Note: Stresses above these listed maximum ratings may cause permanent damage to the device. Exposure beyond specified electrical characteristics (Table 2) may affect device reliability or cause malfunction.

• Vertical velocity indication (e.g. rise/sink speed)
• Internet of things
• Enhancement of GPS navigation (e.g. time-to-first-fix improvement, dead-reckoning, slope detection)
• Indoor navigation & localization (floor detection, elevator detection)
• Outdoor navigation, leisure and sports applications
• Weather forecast
• Health care applications (e.g. spirometry)
• Fitness applications like enhancement of calorie detection
• AR & VR applications
• Context awareness