For full functionality of this site it is necessary to enable JavaScript.
EMIN.VN
0

Maximizing Battery Life of IoT Devices By Minimizing Load Current Draw

2018년 05월 03일 09시 54분 49초

The Challenge of Measuring Low IoT Currents To maximize battery life, your product current draw must be kept to an absolute minimum. This requires that you use low power components and efficient techniques to de-energize components when they are not in use. You need sensitive measurement instrumentation to measure current levels as low as nA.

Maximizing Battery Life of IoT Devices

By Minimizing Load Current Draw

The Challenge of Measuring Low IoT Currents

To maximize battery life, your product current draw must be kept to an absolute minimum. This requires that you use low power components and efficient techniques to de-energize components when they are not in use. You need sensitive measurement instrumentation to measure current levels as low as nA.

Determine the load current profile

It can be difficult to characterize the load current profile of a prototype IoT device, because you must measure the current in a wide range of operating states:

  • sleep mode (from nA to µA),
  • standby modes (from hundreds of microamps to tens of milliamps), and
  • active states (from milliamps to amps), including short current bursts due to wireless transmissions

To accurately capture these widely varying load current levels, you need an exceptional measurement solution that includes:

  • A wide current measurement range, from hundreds of nanoamps to amps
  • The measurement speed to capture current pulses just a few microseconds wide
  • A large memory buffer to store the prototype device’s current profile

Keithley’s DMM7510 7½-digit Graphical Sampling Multimeter is well-equipped to meet these demands, as it offers:

  • pA current sensitivity
  • 1 Msample/s sampling
  • 27 M data points of memory

Watch now to learn how to solve the IoT measurement challenges.

Determine the Average Current of an IoT Device


Simulate any battery type

How low can the battery voltage drop before your IoT device turns off? Gauging battery performance at different stages of battery discharge is difficult, as it requires instrumentation that can accurately simulate battery performance.

To address this, Keithley’s 2281S-20-6 Battery Simulator makes it easy to model any type of battery. It allows you to efficiently test prototype IoT devices in any battery state, with high repeatability to effectively estimate battery life. Combining a 2281S-20-6 Battery Simulator with a DMM7510 Graphical Sampling Multimeter will give you a complete solution for assessing power consumption and battery life of your IoT prototypes.

Program the battery simulator for any state of charge, such as near the completely discharged state, to determine how a product performs under a low battery condition and to determine the low battery shut-off voltage.

Model any type of battery

Create any battery model.

The final piece of the puzzle is to create a model for the battery that powers your IoT device. Keithley’s 2450 or 2460 Graphical SourceMeter® Source Measure Unit (SMU) instruments make it easy to create the model for the battery used by your product.

A battery model-generating script operates the SMU instrument as a controlled current load and derives the model parameters.

 

 

 

관련 뉴스

Ensuring the Safe Operation of Solar Power Systems
2026년 10월 05일 16시 23분 21초

To maximize effectiveness, insulation testing and grounding should be integrated into a closed-loop maintenance procedure. This synchronized combination not only helps detect potential risks early but also creates a robust protective barrier for investors' assets, optimizing the ROI for the entire solar energy project

Refrigerated Centrifuge Solutions for Healthcare and Aesthetics: The Gold Standard for Preserving Biological Samples
2026년 10월 05일 14시 57분 20초

In clinical testing and the preparation of platelet-rich plasma (PRP), the success of the procedure depends entirely on the precision of sample separation. The EMIN refrigerated centrifuge effectively eliminates the issue of sample denaturation caused by frictional heat through an active cooling mechanism, thereby maximizing the preservation of enzymatic and cellular biological activity

Early Detection of Solar Power Generation Loss
2026년 10월 05일 14시 36분 35초

By assessing the impact of dust and shading alongside routinely archiving I-V curve data and thermal images, technical teams can easily identify early performance degradation trends in individual PV strings. As a result, businesses can schedule cleaning, trim obstructions, or focus on repairing precise fault locations rather than incurring costs from widespread inspections or premature panel replacements—thereby optimizing power output and extending the lifespan of the entire solar project.

혜택 소식 받아보기

대량 할인, 도매 가격 업데이트 및 신제품 소식을 이메일로 받아보세요.

구독하면 당사의 서비스 이용약관 및 개인정보 처리방침에 동의하는 것으로 간주됩니다.

빠른 지원

인증된 전문가에게 직접 연결