Texas Instruments Launched bq25703A To Support USB Devices

Texas Instruments (TI) has introduced a pair of single-chip buck-boost battery charge controllers for the 1 to 4 (1S to 4S) design with a high degree of flexibility. The bq25703A and bq25700A synchronous charge controllers provide efficient charging for USB devices such as notebooks, tablets, power supplies, unmanned aerial vehicles and smart home applications via USB Type-C and other USB ports.

The bq25703A and bq25700A support the I2C and SMBus interfaces with a new advanced battery algorithm that adds power to the battery charge through maximum power point tracking technology for full power output. A unique algorithm called Input Current Optimization (ICO) automatically detects the maximum capacity of the input power to optimize the current while maintaining system and charge current consistency to ensure maximum input power utilization.

Key features and benefits:

• Input source flexibility: The device's USB Power Delivery compatibility provides an input voltage range of 3.5V to 24V, allowing designers to use multiple ports including USB 2.0, USB 3.0 and the latest standard USB Type-C.

Wide USB On-the-Go (OTG) Output Compatibility: This new charge controller supports 5V to 20V input-ready devices that provide adjustable output via programmable current regulation for USB OTG.

Compact configuration: TI's new battery charging algorithm and intelligent detection enable the battery charge controller to support wide input and output voltage range and more compact adapter design.

• Seamless conversion between different modes: The device supports 1 to 4 cells for efficient conversion between buck and boost operation without any dead ends.

The bq25703A and bq25700A have expanded TI's industry-leading battery charger solution portfolio to provide switch-mode fast chargers and linear chargers for a variety of applications and power levels. Learn more about TI's battery charging solutions for accurate, reliable, faster, lower-temperature charging, and how TI's USB Type-C ecosystem provides a protected power supply for low-power applications.

Tools and support

Designers can use the bq25700A Evaluation Module (EVM) to easily evaluate the device's performance and performance and speed time-to-market. The $ 17.00 bq25703A EVM and bq25700A EVM are available from TI store and authorized resellers. Designers can also use the WEBENCH? Battery Charger Designer to calculate the efficiency of the battery charge controller. You can buy it from electronic component distributor.

Supply, package and pricing

The bq25703A and bq25700A charge controllers are currently available through TI store and authorized resellers. The controller is available in a 4 mm × 4 mm, 32-pin quad flat leadless (QFN) package and is priced at $ 2.20 (1,000 in basic order).

Learn more about TI's battery management solutions

Read the blog post "How does the buck boost battery charger change the way the device is charged."

Join the Texas Instruments Online Community Management Forum to find solutions, get help, and share knowledge and solve problems with industry engineers and TI experts. Reference: 74hc595 and ds18b20

NVIDIA And Intel, Who Is The Winner?

In the era of artificial intelligence, the chip is even more important. Previously only in the TV to see the smart car, automatic driving, the robot is no longer a science fiction, began to slowly occur in our side, became a reality, Google's AlphaGo man-machine war, Li Yanhong ride unmanned car Beijing Wuhuan, has been real in our side. And all the source of power in the depth of artificial intelligence on the basis of the need to have a strong brain (chip) to carry everything.

Since the start of the auto-driving technology, the continuous study of open artificial intelligence vehicle computing platform, launched in 2015 the world's first car super brain first-generation Drive PX. With the continuous updating of technology, the advantages are getting bigger and bigger, NVIDIA has become a cutting-edge company of automatic driving hardware.

The current NVIDIA has been working with more than 70 well-known car prices, which also includes a number of transportation network providers and automatic driving technology companies. Not long ago Volvo joined the camp of NVIDIA, and the famous electric car manufacturer Tesla installed Autopilot 2.0 on the use of the Drive PX 2 autopilot chip.

In the wind on the AI to take the NVIDIA, in the past year the market has soared, and then there are Japanese Softbank's holdings of stock, there are Amazon, Microsoft's cloud computing support, everything seems to feel that the field is Winner.

The biggest rival Intel, seems to have no strength to fight back.

I think that it seems that all this is the same design, as NVIDIA's biggest rival Intel seems to have no strength to fight back. Intel as the world's largest semiconductor chip manufacturers, in the PC Internet era, the mobile Internet era, almost dominate the entire Internet market, even the most likely to match the IBM can not parry.

In the battle for artificial intelligence and unmanned chips, Intel has been able to meet the challenge of NVIDIA, in order to meet the special needs of artificial intelligence chips, a large number of acquisitions and related companies to develop custom chips, in order to compete with NVIDIA's challenge,

In the era of artificial intelligence, the subdivision seems to be important, as is the core chip for the creation of artificial intelligence, so the rich variety of chips is also born, the human dependence on the central processor does not seem so serious before, And Intel's Xeon Phi, AI processor to support the calculation, it will take some time to formally market-oriented, I think, Intel's pace seems to have been far from the NVIDIA. If you want to learn more information, please go to electronic component distributors.

We seem to have forgotten a heavyweight player, search giant Google. Google can be described as a world-class recognized giants, almost everywhere in the field of science and technology can see its shadow, from the UAV to the high-speed network, almost in each area are involved. Also makes Google in the automatic driving technology to walk in the forefront of the world. Although Google is the most driving in the automatic driving, but in the field of chips is indeed squeezed into the past, Google is also used before the NVIDIA chip. Although Google introduced the depth of learning TPU chip, but I am afraid I can not and NVIDIA, Intel to compete.

So, who is the artificial intelligence of the era of AI chip final winner, I believe that the depth of learning technology in the continuous improvement of the future of artificial intelligence machine thrust capacity, will be more and more perfect, maybe one day will be able to cope with everything The ultimate algorithm out, halfway out to replace the British Weida.

Moreover, from the time cost and capital costs point of view, the NVIDIA can not and Google comparison. To the strength of Google, once all aspects of maturity, it is entirely possible to replace the British Weida, to seize the hegemony of AI chips. Who will be the ultimate player, we can only wait and see.

Reference: atmega328p and cr123a