Worx WA3575 20V PowerShare Battery

Experience the power and convenience of the Worx Power Share collection with just one 20V 2.0 Ah Max Lithium-Ion Battery. From string trimmers to circular saws, impact drivers to lawnmowers, this battery is compatible with a wide variety of tools.

Max L-ion batteries are not only lighter, making the tools easier to handle, but they are also more efficient than older rechargeable battery designs. These batteries do not wane or drain, and they are free from the memory effect that plagued previous generations of batteries, ensuring they can fully charge as they age. Additionally, they have a longer lifespan, saving you money in the long run. By sharing one battery between multiple tools, you can reduce the number you need to purchase.

Cordless tools powered by these batteries are not only cost-effective compared to gas-powered tools but also eliminate the hassle of dealing with cords. 40V Power Share tools can also be powered by these batteries with two 20V batteries combining to provide 40V power-output, offering gas-like performance without the drawbacks of gasoline.

The runtime of these batteries will vary depending on the task and tool being used, but as a general guideline, one 20V 2.0 Ah battery can power a Worx GT String Trimmer/Edger/Mini-Mower through a typical ¼ acre lawn. The battery is compatible with several Worx chargers, including WA3742, WA3868 quick charger, WA3875 dual-port charger, and WA3878 quick dual-port charger.

Not only does the 2.0Ah MaxLithium battery provide the necessary power for your tools, but it is also designed to be durable and long-lasting, allowing for multiple recharges. With a standard charger, it can be fully charged in 5 hours, while a fast charger can get you back to work in just about an hour.

Take advantage of the lightweight, efficient, and long-lasting nature of MaxLithium batteries with the Worx Power Share collection. Keep track of your battery's life with the battery-check system and consider using one of the suggested Worx chargers for optimal performance.

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