The mention of fast charging technologies for smartphones has become quite common lately. You’ve probably already heard of Qualcomm’s Quick Charge, OPPO’s VOOC flash charge, or OnePlus’ Dash Charge, which can juice up a smartphone’s battery to around 60 percent in just 30 minutes. So, how exactly do they work?
Most devices use lithium-ion batteries
To understand how these technologies work, knowing the basic principle of how a smartphone’s battery gets charged is a must. Most, if not all, smartphones today use a type of battery called lithium-ion (Li-ion). A Li-ion battery is composed of a positive and negative electrode and an electrolyte in between them. The lithium ions inside the battery move from one electrode to another, allowing the battery to be in a charging (storing energy) or discharging (expending energy) state.
Battery capacity is measured in milliampere hour (mAh)
Great, we’ve got some background on how Li-ion batteries work! The next question is how exactly do we determine the speed at which a Li-ion battery gets charged. You’re probably familiar with the rating used to gauge the capacity of a smartphone’s battery. If not, it’s the number that uses mAh (milliampere hour) as its unit of measurement. A larger number means larger capacity, which translates to longer battery life.
A 6000mAh battery will last twice as long as a 3000mAh battery. The same thing applies to charging: The larger the capacity of a Li-ion battery, the longer it takes to fully charge. The amount of current that the charger can output is usually the determining factor on how fast a battery can be charged, which is why a tablet charger that can output 2A (ampere) will charge twice as fast as a smartphone charger that can output 1A.
Another important nature of a Li-ion battery is that it doesn’t charge in a linear fashion. It’s easier to charge the battery when it’s nearly empty compared to charging when it’s nearly full. Think of it like packing a bag; it gets harder to put things in as it gets filled.
As mentioned, increasing the current used to charge a battery decreases charging time, but only up to a certain point. A Li-ion battery can only take in so much current, and increasing it past the threshold only results in dissipated energy in the form of heat. Therefore, if you use a tablet charger to charge a smartphone, it usually charges faster but also heats up faster.
Battery charging has evolved through the years
With all these things in mind, we can go back to the question of how fast charging technologies work. As its name implies, it allows rapid charging of a smartphone’s battery. This is usually done by increasing the power output of a charger, either by increasing the voltage or current that it provides to the device. You might ask if it’s safe to increase the amount of power we pump into our devices: Theoretically, it isn’t safe, but with the right hardware for monitoring and checking power output and temperature, things become safer.
Smartphones nowadays are smart when it comes to charging. Most devices today have a built-in chip for monitoring battery temperatures and the amount of power going through as the phone charges. This allows the smartphone to intelligently lessen or stop receiving power from the charger once the battery is full or if the battery gets too hot. That’s why when you leave your phone to charge, you’ll notice the charger and the battery heat up while charging, and once they’re done, both will stop heating up.
Taking things further are these new fast charging technologies that can provide more than half of a battery’s capacity in less than an hour. They work by pushing as much power as the device can handle to ensure the battery is charging at its maximum rate. As mentioned earlier, when a battery is at a low capacity, it’s easier to charge since the lithium ions have more freedom to move. This nature is what Qualcomm and other manufacturers take advantage of for faster charging.
Qualcomm’s Quick Charge gets better every year
Qualcomm’s Quick Charge technology leverages on different power outputs — mostly voltage adjustments — for the charger, depending on the current battery capacity of the device. Thanks to the special chip installed on both the device and charger, the latter can actively adjust the power output depending on the device’s needs. So, at lower capacities, it delivers the highest power rating the device can safely handle, and as the battery gets more juice, the device communicates with the charger and tells it to provide less power.
Ever since Quick Charge was introduced, Qualcomm has continued its development and currently has five iterations: Quick Charge 1.0, 2.0, 3.0, 4.0, and just recently, 4+. Here’s a table to summarize what the first four iterations of Quick Charge are capable of:
|Quick Charge Version||Voltage||Current||Power (Watts)|
|1.0||5V||2A||Up to 10W|
|2.0||5V, 9V, 12V||2A, 2A, 1.67A||Up to 18W|
|3.0||From 3.2V to 20V, dynamic increments of 200mV||2.6A, 4.6A||Up to 18W|
|4.0||Dynamic||Dynamic||Up to 28W|
Quick Charge 4.0 builds on the success of QC 3.0 by adding new features: compliance to USB Type-C and USB Power Delivery; a newer version of Intelligent Negotiation for Optimum Voltage (INOV), allowing the device to determine the optimum power level to request from the charger; and the inclusion of Dual Charge which adds a secondary power management chip in the device for better thermal dissipation and more efficient charging.
Even though few smartphones supporting QC 4.0 have been released, Qualcomm has already launched an update, version 4.0+. It further improves the Dual Charge feature of its predecessor with the addition of Intelligent Thermal Balancing, which eliminates hot spots by moving current through the coolest path available during charging. Building on the already robust safety features of QC 4.0, this update goes one step further by also monitoring the temperature levels of the case and connector. The added layer of protection helps prevent overheating and short-circuit damage.
High-current charging for OPPO and OnePlus
Being sister companies, OPPO’s VOOC charging technology and OnePlus’s Dash Charge have the same method for charging faster, and they do so by providing high amounts of current (around 4A) while charging. The level gets lower as the device gets charged up. Again, thanks to the special chips installed in the device and charger, OPPO and OnePlus devices supporting these technologies can charge faster.
Quick Charge and VOOC/Dash Charge may both be fast charging technologies, but they have some differences. Quick Charge mainly leverages on the use of higher voltages, while VOOC and Dash Charge use high-current charging. OPPO and OnePlus also made sure that the charger takes in the bulk of the heat generated while charging, which is not the case for Qualcomm’s Quick Charge, wherein both the charger and the device heat up.
Because of the phone not heating up too much, OPPO and OnePlus devices can be used while fast charging without any issues. In addition, OPPO and OnePlus’ fast charging technology is proprietary, which means you’ll need the charger and cable that came with your device to use it.
Samsung has its own Adaptive Fast Charging technology
If you own a recent Samsung device, you’re probably familiar with Adaptive Fast Charging. This is essentially the same as Qualcomm’s Quick Charge technology, since Samsung acquired the license from Qualcomm to use its technology on devices that have non-Qualcomm processors. This means a Quick Charge adapter can be used on a Samsung device that features Adaptive Fast Charging and vice versa.
Fast Charging requires specific hardware
Keep in mind that to make use of such tech, you’ll need a smartphone that supports a fast charging technology and a certified charger and/or cable. If you’re using a higher-end phone that’s been released in the last couple of years, chances are your handset supports fast charging.
Summing thing up: Fast, quick, rapid charging, or whatever they call it, is technically just a smarter form of charging that takes advantage of how Li-ion batteries work. With all the prerequisites — a compatible smartphone and charger — you won’t be stuck near a wall outlet for a few hours just to receive an ample amount of energy in your device. Until better battery technology comes out, fast charging might be the only solution we have for a while.
Illustrations: Kimchi Lee
Play more, charge less: Huawei’s GPU Turbo explained
Better visuals without sacrificing battery life?
Aside from using your phone to call, text, and take pictures, you now have the power to access the internet and play games with others. Instead of limiting yourself to Snake and Bounce, you now have online games such as PUBG Mobile and Mobile Legends.
There’s just one problem: Not all games are playable across all smartphones. With the gaming world now expanding to the mobile scene, you would need a smartphone with the latest hardware and software inside it. Even if that’s not the case, you would need a smartphone that can handle long hours of gaming, as well. It’s an intense fight over what matters to you the most: performance versus efficiency.
Fortunately, the choice shouldn’t be very difficult thanks to Huawei’s latest mobile advancement: GPU Turbo.
What’s GPU Turbo all about?
GPU Turbo processing technology aims to enhance the gaming experience across Huawei’s smartphones. Executives promise that the tech will boost gaming performance while maintaining the phone’s efficiency. This means you can play games on your smartphone without sacrificing much — like battery life, for example.
The technology looks at the graphical capabilities of your phone and adjusts it accordingly, especially for gaming. With GPU Turbo, technologies such as 4D gaming and both augmented and virtual reality (AR and VR) are taken care of. Huawei believes that GPU Turbo will boost graphical performance by 60 percent, and can make even budget phones play graphically intensive games.
Apart from boosting visual performance, GPU Turbo also enables smartphones to maximize efficiency. One common problem across all smartphones is that the battery depletes relatively fast while you’re gaming. Partner that with a non-effective cooling solution within the phone, and it’s basically device overkill when playing games. What GPU Turbo does is extend your phone’s battery life by 30 percent and keep your device relatively cool while playing.
Implications on Huawei Smartphones
One of the key insights Huawei executives received was about consumer demand for a smoother mobile gaming experience. Because people want to play the latest mobile games seamlessly, they would want to buy smartphones that are capable of doing so. Graphical performance should not suffer in the slightest, especially for multiplayer online battle arena (MOBA) and battle royale games.
The fun doesn’t stop there: With Huawei smartphones supporting GPU Turbo, other technologies such as AR and VR get a chance to truly shine. Huawei executives claim that GPU Turbo opens up opportunities for innovations like online shopping through AR or telemedicine through VR. At this rate, in theory, you could have a truly complete smartphone experience on your hands.
As of writing, GPU Turbo will take effect Huawei’s latest smartphones like the new Huawei Nova 3 series. However, older smartphones supported by the latest EMUI will experience the upgrade, as well. (View the list here.)
If you’ve been dying to have the full mobile gaming experience, GPU Turbo is definitely something to watch out for.
The future for all games: Ray Tracing explained
The magic behind NVIDIA’s RTX series
NVIDIA seemed to have struck gold with the announcement of their brand new graphics cards for gamers. These cards are set to bring the gaming world into unparalleled heights thanks to the technologies behind them. The company calls them the RTX series, and the biggest feature within these graphics cards is real-time, ray tracing technology.
But, what is ray tracing technology? What is it about this technology that had NVIDIA wanting to produce a new line of cards to house it? Will it really change the gaming experience as a whole?
Ray tracing in a nutshell
Ray tracing is a rendering technique that uses rays of light to project images or objects onto your screen. These rays of light determine the colors, reflections, refractions, and shadows that the objects possess. These also show more accurate, more realistic images as the rays trace back to any source of light in the surrounding. To put it simply, ray tracing is what happens when you could take a picture of anything around you with your eyes.
The technology isn’t that new; in fact, it has been used since the 1960s for movies and television. Ray tracing is the main proponent behind CGI, where most special effects are often rendered to recreate realistic backgrounds with accurate coloring. In 2008, Intel showed a demonstration of the game Enemy Territory: Quake Wars that used ray tracing powered by a Xeon Tigerton processor. Currently, there are applications that allow you to edit videos using ray tracing such as Adobe’s After Effects.
Shifting from rasterization to ray tracing
For the longest time, NVIDIA has worked with multiple companies to produce game-grade graphics cards for consumers. The main technology behind these graphics cards is rasterization. In a nutshell, rasterization creates shapes to outline certain elements during gameplay. These shapes are given various colors to mimic reflections and shadows produced by such objects. The technology does not use up too much processing power to produce high-quality images for games. Rasterization enables gamers to play at smoother frame rates while getting the best and most realistic image quality.
However, NVIDIA wanted to take things up a notch when producing the next generation of graphics cards for the modern-day gamer. The company wanted to improve the gaming experience by any means, thus bringing in ray tracing in their graphics cards. With ray tracing, colors are more accurate allowing for a more immersive gaming experience — at least that’s how the company explains it. This is clearly seen with their exclusive gameplay of Shadow of the Tomb Raider:
This technology became the backbone for their new RTX graphics cards, putting much emphasis on real-time interactions within games. The RTX graphics cards possess greater memory capacity and processing speeds to keep up with the demands of the technology inside it. With NVIDIA’s Turing architecture, these new cards make the ray tracing processes much faster while using less computations.
Risks of going for ray tracing
Of course, with new technologies comes risks to consider before buying into them. First, ray tracing heavily relies on multiple calculations to generate accurate images on your screen. Back then, computers and graphics cards were not powerful enough to produce quality images immediately using ray tracing. Production of such images can take days to possibly weeks or months, as seen with most movies that heavily rely on CGI.
When applying ray tracing technology to modern games, graphics cards tend to suffer more. The computational requirement for ray tracing is much more than the graphics card’s virtual memory (VRAM) could handle. Of course, it depends on how much RAM is included in your graphics card — even then, it would consume more energy than it’s optimized for. These are the risks that NVIDIA is constantly trying to address with their new RTX cards.
There is still a lot of work needed to prove that ray tracing is the future for gaming. While the technology wants to bring to you the most immersive gaming experience ever, it also comes with a heavy cost — not just on your wallet. Let’s hope that the RTX series is worth the wait.
The importance of artificial intelligence in smartphones
Is this still the future of technology?
Have you ever wondered what smartphone brands actually mean when they tell you that their cameras use artificial intelligence (AI)?
With AI now becoming a significant part of our daily lives, we start to look into how this technology found its way into the market, and see whether or not AI truly is the future.
What is Artificial Intelligence?
Artificial intelligence, or AI for short, is a not-so-fairly new concept in the world of technology. What it basically means is that machines are given human-like intelligence through a system of information and programs or applications that are built into machines.
Machines with AI built inside can perform a variety of tasks mostly observed through human intuition like problem solving, gathering knowledge, and logical reasoning — among others. It’s basically making machines smarter and, in a way, more human-like.
AI has been a part of many devices over the past few years, from smart homes to applications on your smartphone. Companies like Amazon and Google have come up with smart home devices that assist people with their day-to-day tasks such as Alexa and Google Assistant.
Businesses with online presence through company websites have also integrated chat boxes and online assistance bots that automatically answer any customer concerns depending on the information given.
How AI found its way to smartphones
Artificial intelligence was often associated with creating robots to perform human-like functions at a much faster, more efficient rate — which is heavily portrayed on mainstream media. Through AI, these machines learn more about the environment they’re in, and carefully adjust to meet the needs of the users. Such a process is called machine learning.
Nowadays, machine learning isn’t just limited to AI robots that learn what people are doing, but has now branched out to what people are thinking, inquiring about, and saying to other people. AI has slowly made its way into other devices that are much more accessible to us, primarily through the internet.
Machine learning is now incorporated into smart home devices, online video streaming websites like YouTube and Netflix, social media websites such as Facebook and Twitter; basically, the technology behind AI constantly learns more about people, their interests, and day-to-day activities.
The newest member of AI-integrated devices are smartphones themselves. Companies like Apple and Google have looked into integrating AI into the processors of their flagship phones — the iPhone and Pixel series, respectively. Early 2018 saw most Android smartphone brands integrate AI within their phones as a way of enhancing the user experience even further; Huawei and ASUS released their new flagship phone lines with their cameras utilizing AI for smarter responses to the environment around the user.
It’s quite possible that smartphones could very well lead the transition of all devices towards machine learning and AI in the near future.
Smartphones with AI
As mentioned, two companies have integrated AI into their smartphones to provide enhanced user experiences in a totally different way. One of these companies is ASUS, with their recently released ZenFone 5 series of smartphones with cameras powered by AI. Its shooters focus primarily on taking better photos and adjusting to the environment around you. The ZenFone 5’s AI Photo Learning allows the phone to learn how you like your photos and adjust the settings accordingly so you don’t have to.
Apart from its cameras, the ZenFone 5 series uses AI to boost overall performance. The base model is powered by a Qualcomm Snapdragon 636 processor, which enables the full utilization of AI features on the phone. The AI Boost technology allows the handset to have an instant hit in performance when running heavy-duty applications and games. Of course, AI in the ZenFone 5 also predicts which apps you will use next and learns which apps you use regularly.
Another company that integrates AI in its smartphones is Huawei, with the Mate 10 and P20 series. They’re powered by the Kirin 970 processor — which boosts overall performance and efficiency using integrated AI. This means that the phones will adjust to how much you use them and maximize performance every step of the way. They also come with Huawei’s EMUI 8.0 with its own set of AI features such as Smart Screen for multitasking and real-time translation during calls.
Much like the ZenFone 5, the Huawei Mate 10 and P20 phones also have cameras powered by AI. This powers the phones’ dual-lens camera setups for scene and object recognition, automatically adjusting the camera’s settings to suit the situation. Huawei also emphasizes producing professional-grade photos by allowing the AI to adjust the camera’s focus on the subject. That way, you are able to achieve a perfect-looking selfie or portrait — without the need to manually adjust the settings for a long period of time.
What we get from AI
Artificial intelligence opens up many opportunities for technology to be like humans in terms of processing thoughts and insights. What AI does is it allows machines to learn more about humans and tailor-fits its processes and capabilities to match us, from search engines to smarter applications. When treated properly, AI can actually deliver better and more efficient ways of dealing with the problems people face almost every single day.
The only downside is AI has the potential to even invade one’s privacy, especially through one’s smartphone. Because the technology is constantly learning more about its user through his or her devices, this opens the door for the data to be retrieved by, quite literally, anyone on the internet.
Because people nowadays access their smartphones almost every chance they get, people who truly know how AI works have the potential to abuse what they know and use it for their own personal gain, either through malicious activities like cyberstalking and cyberbullying, or online attacks like hacking or phishing.
The future of AI
2018 is looking like the year of AI with the unveiling of smartphones and revamped smart devices to upgrade the user experience. The possibilities for artificial intelligence are endless, given its wide usage across any available platform.
For now, it’s intelligent cameras on your smartphones that adjust settings for you to save the hassle of getting the perfect image. Some time in the future, AI could very well exist even on a gaming controller or mirrorless camera to adjust to your needs. However, we have to be aware about the dangers of using AI to its fullest as it can also lead to our own careless actions.
Indeed, the future is bright for artificial intelligence — as long as we use it for the right reasons.
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