| Distributor | Stock | Pricing | MOQ | PKG | Lead Time | Date Code | On Order Quantity | On Order Delivery | |
|---|---|---|---|---|---|---|---|---|---|
|
2,000 pcs
|
2000 pcs | On Request | 1 | On Request | On Request | 21+ | On Request | On Request | |
|
27 pcs
|
27 pcs | On Request | 1 | On Request | On Request | On Request | On Request | On Request |
| Category | |
| Manufacturer Name | |
| AEC Qualified | |
| Automotive Grade | |
| Gain | |
| Lead Spacing | |
| Lead Style | |
| Number of Pins | |
| Operating Temperature | |
| SVHC Present | |
| Tape & Reel |
The Texas Instruments INA240A3QPWRQ1 is an automotive-qualified current sense amplifier designed for precise current monitoring in demanding applications. It operates over a wide common-mode voltage range from -4 V to 80 V, independent of the supply voltage, and offers enhanced Pulse Width Modulation (PWM) rejection for improved signal integrity in noisy environments.
This amplifier provides a voltage output proportional to the current sensed across a shunt resistor. Key electrical specifications include a gain of 100 V/V, a maximum gain error of 0.20%, and a maximum offset voltage of ±25 µV. It boasts excellent DC CMRR of 132 dB and AC CMRR of 93 dB at 50 kHz, ensuring accurate measurements even with significant common-mode noise.
The INA240A3QPWRQ1 is housed in a compact 8-pin TSSOP (PW) package, suitable for surface-mount designs. It operates within an ambient temperature range of -40°C to 125°C, making it robust for automotive and industrial applications. The device is AEC-Q100 qualified, signifying its suitability for automotive environments.
| Qty | Low | High |
|---|---|---|
| 1+ | $1.64 | $1.64 |
Estimated market price range - modelled values for guidance only, not live distributor offers.
The INA240A3QPWRQ1 is available in an 8-pin TSSOP package.
The operating temperature range is -40°C to 125°C.
The common-mode voltage range is -4V to 80V.
The gain is fixed at 100 V/V.
The DC CMRR is 132 dB.
The maximum offset voltage is ±25 µV.
The maximum gain error is 0.20%.