How AI is Disrupting Battery Charging

August 27, 2019

What if the handheld vacuum cleaners, smart watches, and electric cars (EVs) that we use daily could be charged in 10 minutes flat? True fast charge would mean less downtime and more productivity. But how do we get there?

Most batteries can be charged fast, but the quicker a battery is charged, the faster it degrades. To avoid irreversible damage,manufacturers limit the charging rate of the batteries. For many products including EVs, cell phones, and power tools, fast charging solutions are available. From Tesla’s Supercharger to Samsung’s Adaptive Fast Charging to Milwaukee’s Super Charger – it’s obvious that everyone is interested in more efficient charging solutions. Grouping all Li-ion powered devices together for the sake of argument, the fastest chargers on the market today still take between 30 and 45 minutes and often result in very high temperature increases – typically linked with irreversible internal damage that will reduce the battery lifespan. Drastic temperature increases are also a potential safety concern. Also, is half an hour considered quick?

Charge in minutes, not hours.

Reddit threads, scholarly articles, and industry reporters continue to speculate about battery technology and what’s going to be the next big breakthrough. Will it be new organic compounds, solid state batteries, or something completely revolutionary that doesn’t require changing the chemistry of the battery?

What if artificial intelligence is the answer we’ve been waiting for?

In recent years, there has been significant research around pulse charging algorithms. There are academic and scientific reports, as well as many real-world applications, describing how algorithms improve battery performance on battery chemistries ranging from lead acid to Li-ion to NiMH. Pulse charging algorithms are being called a promising battery charging technique to achieve fast charge and increased efficiencies.

Companies in the battery technology space, such as GBatteries, are using self-learning pulse charging algorithms as an alternative to CCCV, which allow for ultra-fast charge without compromising the lifespan of the battery. By monitoring the battery in real time and adapting to the ever-changing conditions internally, charging is optimized based on battery response signatures as they occur, resulting in a drastic reduction of irreversible chemical reactions, while also minimizing the temperature rise.

GBatteries has demonstrated 100% charge on 20v power tool batteries in 11 minutes.

Artificial intelligence is already disrupting many long-established industries and it will be a game changer for battery charging. Fast charging batteries have the promise to reduce operational costs and improve efficiency – the sooner these more effective energy transfer regime technologies are commercialized, the better.

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In this video, we demonstrate how we can charge a cordless drill to 100% capacity in 11 minutes:

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