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battery monitoring system (BMS)

MOQ1 set
PortKeelong harbor
PackagingStandard

Product Details

  • Battery management system(BMS) capable of equalizing/balancing and charging voltage control with remote monitoring.
  • Improve the lifespan of individual batteries by automated management optimization with simple setting procedures.
  • Detect hidden defects and forecast the data in advance, avoiding critical situations happening.
  • Provide users with comprehensive data through powerful detecting functions and visualized scatter charts.
  • Compatible with a wide range of battery types as below: 1.2V/2V/4V/6V/12V Lead Acid (VRLA, VLA)/Lithium/NiCd/ NiMH Battery
  • BMS α-1 system includes battery monitoring and management system that both function by AIoT technology, also offering a way to access data through the Wi-fi hotspot and internet connection. With basic setup procedures, it can cyclically collect detailed data which comprise internal resistance(DCR), temperature, electromotive force, micro-discharge and float voltage, paving the way to know the actual condition of batteries with an even wider vision.

    With specially designed BMS α-1 system, users can easily complement replacements or repairments depending on the degree of deviation that the system reports in notifications, which also would be shown on the screen, dry contact relay alarm, and sent by E-mail. Thus able to avoid potential risks caused by overcharging, battery deterioration, and power failure in advance. Most importantly, with the support of equalization(balancing) management, it’s able to maximize the service life of the battery system as a whole at a relatively lower cost, and so improve staff safety by decreasing direct contact with electric devices.

    BMS α-1 - Battery Monitor System

    why choose the BMS α-1 system from B-TEK?

    UPS system as the important equipment to the stable power supply, needs great amount of battery as back-up power source. Due to the enormous amount of the batteries, it makes it hard to carry out the manual maintenance. To maintain the discharge ability during the outage, regularly manual detection is needed. However traditional battery discharge test needs battery offline. It’s time-consuming and increasing the cost. BMS α-1 system is able to improve the risk of manual measurement, battery deterioration and power failure, changing battery according to the actual condition of batteries. Besides, the automatic battery equalization function can extend the battery life. Not only can raise the reliability, lower the cost of battery failure, decreasing manual labor also increasing the stuff safety by avoiding the direct contact to the electric device.

    ■ Main components of BMSα-1 system

    BMU CMU UMW

    Battery Monitor Unit Charger Monitor Unit U-BUS Mini Workstation

    BMU is installed to the individual battery, collecting the data and send it to the UMW to analyze. BMU is powered by the detected battery, therefore the extra power is not needed, This unit applies to a lead-acid battery, nickel-cadmium battery, lithium battery. BMU analyzes 5 parameters: terminal voltage, temperature, dc resistance, micro-discharging voltage, and electromotive force. Bu analysis, the system finds the deteriorated reasons for the battery and do the predictive maintenance. The groove on the back of BMU allows it to attach on the mounting rail. Dimension is 75*57*31mm. Reverse connection protection function will keep the internal circuit of BMU intact from a reverse connection.

    CMU connects to the charger and UMW. The main purpose is to monitor the current of the charger and the total voltage of the battery bank. The groove on the back of the CMU allows it to attach on the mounting rail. Dimension is 75*57*31mm.

    UMW provides the website browsing function, the user can access the real-time data, historical data, forecast scatter chart, line or curve graph through it. We can utilize a computer, mobile phone or tablet to remotely access the system through ethernet and hotspot function. Besides that, we can also use the FTP and VNC software to remotely access the data or control the system. When the system detects the abnormal parameter, it will automatically send the email notification and inform the users. Another AI function can provide a maximum of three years predicted data of the battery by analyzing the historical data. Efficiently manage the energy system.

    * Battery data tabe * Battery life predictive management chart

    * Electric data line graph * Historical data curve graph

    B-TEK CORP.

    5F.-1, No.265, Xuecheng Rd.

    Taiwan

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