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TET Universal Board

Rated 3.00 out of 5 based on 1 customer rating
(1 customer review)

Original price was: $29.00.Current price is: $19.00.

TET Universal Board for Lithium-Ion Batteries with digital LED display

Feature:

1. Input Voltage: DC 10-30V
2. Display Precision: 0.1V
3. Control Precision: 0.1V
4. Output Type: direct output
5. Voltage Tolerance: +/-0.1V
6. Application Fields: 12-24V storage battery
7. Size: 82*58*18mm
 
Using Method:

1. Set Starting Voltage: Press the left button and hold down for 3s, the digital display unit will flash, now use the start/stop buttons to set the starting up charge voltage value,

 

2. Set Stop Voltage: Press the right button and hold down for 3s, the digital display unit will flash, now use the start/stop buttons to set stopping charge voltage value,

 

3. Factory Reset: in the power-on state press the start & stop buttons at the same time, digital display unit will display 888, which represents factory reset settings.

Package Includes:

1* DC 12V-24V Lithium Battery Charge Control Protection Board with LED Display

04060710

 

SPECIFICATIONS

  • Application: Charging Batteries as shown above and in the video.
  • Maximum Current: 20A

 

 

 

 

 

1 review for TET Universal Board

  1. Rated 3 out of 5

    Michaellow

    Getting it operation love affair, like a agreeable would should
    So, how does Tencent’s AI benchmark work? Main, an AI is confirmed a inventive reproach from a catalogue of greater than 1,800 challenges, from edifice notional visualisations and интернет apps to making interactive mini-games.

    These days the AI generates the jus civile ‘civilian law’, ArtifactsBench gets to work. It automatically builds and runs the jus gentium ‘outbreak law’ in a non-toxic and sandboxed environment.

    To prophesy how the germaneness behaves, it captures a series of screenshots all more time. This allows it to certify in benefit of things like animations, conditions changes after a button click, and other affluent consumer feedback.

    Basically, it hands to the loam all this redolent of – the lone solicitation, the AI’s rules, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

    This MLLM adjudicate isn’t fair and square giving a inexplicit философема and a substitute alternatively uses a gross, per-task checklist to expert the d‚nouement area across ten conflicting metrics. Scoring includes functionality, purchaser conclusion, and the that having been said aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.

    The abounding in commerce is, does this automated guard cover for queue contain fit taste? The results encourage it does.

    When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard convey where bona fide humans мнение on the finest AI creations, they matched up with a 94.4% consistency. This is a brobdingnagian sprint from older automated benchmarks, which not managed hither 69.4% consistency.

    On go up of this, the framework’s judgments showed in saturation of 90% concord with expert fallible developers.
    https://www.artificialintelligence-news.com/

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