Explained: What is Optimised Charging, how it works, benefits and more

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Battery life and performance is often one of the deciding factors in a smartphone purchase decision. Brands now offer super fast charging and long-lasting and durable batteries on the hardware side of things. On the software side, there’s a feature called Optimised Charging, which comes in handy in extending the battery life of smartphones. Here we explain what is Optimised Charging feature is, what it does and more:

What is Optimised Charging?

Optimised Charging is a feature found on iPhones and Android phones. It is designed to extend the life of the battery by slowing down the rate of charge when the phone is not in use.


How does it work on iPhones?

On iPhones, Optimised Charging is enabled by default and can be found in the Battery settings. The feature uses machine learning to understand your charging habits and will slow down the rate of charge when it predicts that the phone will not be used for an extended period of time. This reduces the wear and tear on the battery, extending its overall life.


How does it work on Android phones?

On Android phones, the feature is called “Adaptive Battery” and is available on devices running Android 9 and later. This feature uses machine learning to understand the apps and services you use most and prioritises battery power for those apps to extend the overall battery life. Additionally, it also uses machine learning to predict when you’re likely to need your device next, so it can start charging the battery before you need it.


What are the pros and cons of Optimised Charging?

As mentioned, the whole idea of Optimised Charging is to extend the overall life of the battery by slowing down the rate of charge when the phone is not in use. This reduces the wear and tear on the battery, and can help to prevent the battery from losing capacity over time.
Optimised charging may slow down the rate of charge if the phone is not in use, which can be a limitation for some users. Additionally, the feature relies on machine learning to understand your charging habits, which can take some time to adjust to your usage patterns.



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