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AIoT battery monitoring system

  • Origin: Taiwan
  • Supply Type: in stock
  • Min Order: 1

Quick Details

Feature AIoT function: industrial battery life forecast
Parameters Main battery monitor management parameter: 1.【DC resistance】Analyze the level of grid corrosion and the non-wetting reason of battery terminals. 2.【Electromotive force】Analyze the problem of electrolyte deterioration, shortage between positive and negative plates and the lack of charging. 3.【Float voltage】Analyze optimization and balance of charging voltage. 4.【Micro-discharge voltage】Test how long can battery maintain its voltage during discharging to make sure the ability of power supply during outage. 5.【Temperature】Prevent from thermal runaway.
Website Http://www.b-tek.com.tw/en/web/

Supplier Info.

  • Company Name B-TEK CORP.
  • Membership:Free
  • Business Type: Manufacturer, Trading Company, Buying Office, Agent, Distributor/Wholesaler, Government ministry/Bureau/Commission, Association, Business Service (Transportation, finance, travel, Ads, etc), Other
  • Employees Total
  • Annual Revenue

1. Varied battery management styles 2. 24 hours automatically monitoring 3. Wi-fi and hotspot connect method 4. High extensibility of hardware allows user to manage big amount of battery 5. B-TEK special forecast scatter chart 6. E-mail alarm notification 7. Monitoring item includes battery volt., temperature, DCR, micro-discharging volt. and EMF 8. B-TEK unique AI forecast function 9. Support modbus TCP/IP, RTU and LAN method 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.Â

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.  Â

 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

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