1、 Overview

Internet of Things (IoT) devices often use battery power, and their power consumption optimization directly determines the system‘s lifespan. Low voltage drop linear regulator (LDO), as the core device of power management, static current (Iq) and differential voltage (Vdo) are key parameters that affect standby power consumption and energy utilization efficiency. This article takes the Huaxuanyang XC6206P series as an example to analyze the energy-saving mechanism of ultra-low Iq (≤ 3 μ A) LDO, quantify its energy-saving effect in typical scenarios using engineering calculation formulas, and objectively compare it with industry competitors, providing a selection basis for hardware engineers.   

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2、 Main text

1. The dominant effect of static current (Iq) on sleep power consumption

-Technical principle: Static current refers to the current consumed by the LDO itself when it is unloaded. In the sleep mode of IoT devices (such as sensor standby, MCU sleep), Iq becomes the main power source.   

-Advantages of Huaxuanyang XC6206P: Iq ≤ 3 μ A (maximum value), reduced by 80% compared to brand A (typical value of 15 μ A).   

-Power consumption calculation:

Sleep power consumption formula: P_sleep=V_in × Iq

Assuming that the sleep duration of the device accounts for 90% and the input voltage V_in is 3.3V:

-Hua Xuanyang: P_sleep=3.3V × 3 μ A=9.9 μ W

-Brand A: PSleep=3.3V × 15 μ A=49.5 μ W

Annual energy savings (based on 2000mAh battery):

ΔP = 49.5μW - 9.9μW = 39.6μW = 3.96 × 10^{-5} W  

Sleep time t=365 d × 24 h × 0.9 ≈ 7884 h

Energy saving Δ E=Δ P × t=3.96 × 10 ^ {-5} W × 7884 h ≈ 0.312 Wh

For a 3.3V battery with V_in, saving capacity Δ C=(Δ E/V_in) × 1000=(0.312/3.3) × 1000 ≈ 94.5 mAh

Formula basis: IEEE 1624 standard battery life model, assuming sleep mode dominates

2. Voltage difference (Vdo) improves energy utilization efficiency

-Technical principle: Differential voltage is the minimum input-output voltage difference required to maintain stable voltage. Low Vdo can extend the low voltage operating range of the battery.   

-Huaxuanyang XC6206P: Vdo= 280mV@50mA (Maximum value), typical value of brand A 350mV@50mA .

-Applicable scenarios:

When the lithium battery is discharged to 3.0V (cut-off voltage 2.8V):

-Hua Xuanyang: capable of outputting 2.72V (3.0V-0.28V)

-Brand A: Only outputs 2.65V (3.0V-0.35V)

Energy utilization efficiency improvement:

The available capacity of the battery has increased by about 3% (based on the discharge curve of lithium-ion batteries)

3. Dynamic performance optimization system stability

-Load Regulation:

-Hua Xuanyang: ± 0.1%/A → When the load jumps from 0mA to 50mA, the output voltage fluctuation is ≤± 0.05V (5V system)

-Brand A: ± 0.3%/A → fluctuation ≤± 0.15V

Impact: MCU is less likely to trigger undervoltage reset during RF module startup

-Ripple Suppression Ratio (PSRR):

-Hua Xuanyang: 40dB@1kHz → Input ripple attenuation of 100 times

-Brand A: 30dB@1kHz → Attenuation by 31.6 times

Test case: At the moment of NB IoT module transmission (1kHz ripple), the output ripple of Huaxuanyang is ≤ 10mV, which meets the ADC sampling requirements.   

4. Multi scenario power consumption comparison (Huaxuanyang vs Brand A)

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3、 Conclusion

The Huaxuanyang XC6206P series passes a static current of ≤ 3 μ A 280mV@50mA The characteristics of low voltage drop and 40dB PSRR significantly optimize the power consumption performance of IoT devices in sleep, dynamic load, and battery low voltage scenarios. Verified by engineering calculations:

1. Annual power savings ≥ 94.5mAh (2000mAh battery)

2. Battery cut-off voltage utilization rate increased by 3%

3. The output voltage fluctuation in RF interference scenarios is reduced by 67%

Suggested applicable scenarios:

-Battery powered wireless sensor node (LoRa/ZigBee)

-Wearable devices that require long standby time

-Medical sensors sensitive to noise

Note: The actual effect may vary depending on the system design, and it is recommended to refer to the measured data.