Please enter valid positive values.
RESULTS
Input Parameters Specification
Battery EnergyBattery capacity in mAh used as the available energy store for the data logger system.
Battery VoltageBattery voltage used to convert logger and sensor power demand into mAh per day.
Sleep PowerPower consumed by the data logger during low-power sleep state across the full day.
Sensor SamplingSensor power, on-time, sample rate and sensor count define the active measurement energy demand.
Practical Operational Examples
Low Power Logger
Battery: 2200 mAh
Voltage: 3.7 V
Sleep: 0.5 mW
Sensor: 30 mW
Time: 2 sec
Rate: 144/day
Sensors: 2
Battery Life Check
Use this calculator for IoT loggers, wireless sensor nodes, environmental monitoring, temperature loggers and remote data collection.
Weather Station
Estimate how long a remote weather logger can run when sensors wake up briefly and sleep most of the day.
Industrial Sensor Node
Compare sample rate and sensor count to reduce daily mAh drain in battery-powered monitoring systems.
Diagrams & Theory
A data logger battery drain has two parts: continuous sleep power and short sensor-on pulses. Total daily energy use determines how many days the battery can support the system.
Formulas & Mathematical Logic
Original formula preserved:
Energy use per day = (Sensor Power × Number of Sensors × Sample Rate × Sensor On Time) / (3600 × Battery Voltage) + 24 × Sleep Power / Battery Voltage
Battery Life in Days = Battery Capacity / Energy use per day
Sensor power and sleep power are treated in mW, battery voltage in V, battery capacity in mAh, on-time in seconds and sample rate as samples per day.
Step-by-Step Example
Example: Battery = 2200 mAh, voltage = 3.7 V, sleep power = 0.5 mW, sensor power = 30 mW, on time = 2 sec, sample rate = 144/day, sensors = 2.
Step 1: Sensor daily use = (30 × 2 × 144 × 2) / (3600 × 3.7).
Step 2: Logger sleep daily use = 24 × 0.5 / 3.7.
Step 3: Total energy per day = sensor daily use + sleep daily use.
Step 4: Battery life = 2200 / total mAh per day.
Step 5: Indicator uses 100 days as full-scale visual reference.
How to Use This Calculator
Enter battery capacity in mAh.
Enter battery voltage.
Enter data logger sleep power in mW.
Enter sensor power, sensor on-time, sample rate per day and number of sensors.
Click Calculate to get energy usage per day and estimated battery life.
About This Calculator
Estimate battery life for low-power data loggers and sensor nodes.
The CalcBoy Data Logger Battery Life Calculator estimates daily battery drain and runtime from sleep power, sensor power, sample rate and battery capacity.
Battery-powered data loggers usually spend most of their time in a sleep state and wake up only for short sensor readings. That makes runtime different from a simple constant-current battery calculation. A tiny sleep power can matter over 24 hours, while high sensor power may still be acceptable if the sensor is active only for a few seconds per sample.
This calculator is useful for IoT sensor nodes, wireless data loggers, environmental monitors, temperature/humidity recorders, agriculture sensors, remote industrial monitors and low-power embedded systems. By changing sample rate, sensor count or sensor on-time, you can quickly see which design choice saves the most battery.
Real field life can be lower because of cold temperature, battery aging, regulator losses, radio transmission bursts, memory write current, sensor warm-up, leakage and self-discharge. Use the result as a planning estimate, then test the actual logger with real sleep and active current measurements.
Best UseBattery runtime planning for sensor-based data loggers.
Supported InputsmAh, voltage, sleep power, sensor power, on-time, samples/day and sensor count.
Helpful ForIoT nodes, weather stations, environmental monitors and remote sensors.
Design ReminderMeasure real sleep current and sensor warm-up current for better accuracy.
Tip: Reducing sample rate often saves more battery than changing battery size, especially when sensors or radios consume high power during short active pulses.
Frequently Asked Questions
How is data logger battery life calculated?
It calculates daily mAh usage from sensor active pulses and logger sleep power, then divides battery capacity by daily usage.
What is sample rate per day?
It is the number of times the data logger wakes up and takes sensor readings in one day.
Why does sleep power matter?
Sleep power runs continuously for 24 hours, so even a small sleep load can drain a battery over long deployments.
Does sensor on-time affect battery life?
Yes. Longer sensor on-time increases daily energy use and reduces estimated battery life.
Can I use this for IoT devices?
Yes. It is useful for IoT data loggers, wireless sensor nodes, remote monitors and low-power embedded devices.
Is this final real-world battery life?
No. Real battery life can be lower due to regulator loss, radio bursts, temperature, battery aging and changing current draw.
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