EV Battery Tech Launches Battery Revival Program Based On Proprietary AI Technology

• The company said that due to AI-driven technology, it is able to perform a proprietary rapid testing program to quickly and thoroughly analyse used batteries
• According to the World Economic Forum, annual e-waste exceeds GDP in over 120 countries

Extreme Vehicle Battery Technologies Corp has announced the launch of its “Battery Revival Program”. This program utilises EV Battery Tech’s proprietary technology on used batteries to be used in future applications such as Electric Vehicles (EV) or Energy Storage Systems (ESS).

Bryson Goodwin, president and CEO said, “Our patented and industry leading technology will allow us to refurbish and return to use used batteries, which could be a phenomenal win for efforts to reduce waste and curb the release of toxic components into the environment. We intend to apply or proprietary AI integrated BMS technology to manufacture and sell state-of-the-art ESS products.”

“As the world is drowning in waste, we all need to look for better, safer and cleaner alternatives. The surge of electric vehicles is bringing with it a wave of used batteries. Most EV batteries are deemed non-functional when they lose functionality in 20 per cent of their fuel cells. Think of the waste.”

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Proprietary rapid testing program

The launch of this program comes at a time when electronic waste has become a top global concern. As per Thomson Reuters, exponential growth in e-waste has reached a record 53.6 million tonnes in 2020 and that number its projected to double by 2050. A global e-waste report ”), commissioned by the United Nations states that only 17.4 per cent of the waste was recycled

According to the World Economic Forum, annual e-waste exceeds GDP in over 120 countries. The UN calls it a “tsunami of e-waste” and has made the management of e-waste a top priority.

The company said that due to AI-driven technology, it is able to perform a proprietary rapid testing program to quickly and thoroughly analyze used batteries. Once data is entered into its proprietary AI based technology and the analysis is completed, the company can then determine to either refurbish the batteries back to 100 per cent or reuse the batteries in future ESS production.