BMS improvements and parallel developments in the power conversion and battery modules will enable EVs to drive further on a single charge.
Innovative materials can enhance the performance, durability and cost-effectiveness of high-power–density alternative energy solutions.
The data center industry faces a significant challenge: meeting the growing energy demands of artificial intelligence (AI) workloads. As AI technology advances, the need for computational power also increases, resulting in a significant surge in energy consumption. Research by Schneider Electric highlights that data centers need to consider power requirements and cooling solutions to achieve peak performance. In search of answers, the data center sector examines different energy sources, and nuclear power is emerging as a possible solution.
Over the last 18 months, since the launch of ChatGPT in late 2022, AI has become a topic of conversation not only from Main Street to Wall Street, but from Capitol Hill to the ski slopes of Davos at the World Economic Forum’s annual meeting. Even with the disparate natures of these conversations and the different levels of expertise of those discussing AI, they all have one thing in common—they are all trying to understand AI, its impact and its implications.
As companies move towards a low-carbon future, the market is increasingly demanding more efficient power semiconductors. The key goal of developing power semiconductor solutions is to minimize the total cost and size of the system while increasing efficiency.
NXP Semiconductors has launched a new platform and first processor, the S32 CoreRide, to address the challenge of integration and scalability of complex automotive systems and software-defined vehicles (SDVs).
Today, modern batteries are much more powerful and allow long autonomy and rapid charging in total safety for cars, trains, and even airplanes. A dedicated circuit, known as battery management system (BMS), allows the batteries to last longer, and increases their safety in terms of use and charging.
Technological advances are driving product innovation, creating unprecedented challenges for designers in all industries, and this is particularly evident in the automotive industry. Automakers are working to upgrade the ADAS-enabled L2 autonomous driving technology to L3 and L4, and eventually to develop AI-based systems to SAE Level 6 in the field of autonomous driving. Level 3 passenger cars are already on the road in several parts of the world, and Level 4 autonomous taxis are currently in extensive trials on city streets such as San Francisco
As the working population decreases due to falling birthrates and a growing proportion of the population being elderly, advanced artificial intelligence (AI) processing, such as recognition of the surrounding environment, decision of actions, and motion control, will be required in various aspects of society, including factories, logistics, medical care, service robots operating in the city, and security cameras.
Nowadays,Lithium-ion/Lithium-polymer are used extensively in portable electronic devices that are frequently charged. An efficient charging method increases the battery’s lifetime and enhances its performance. Therefore, electronic designers must be aware of the ideal charging procedure, in designing battery-powered devices that are required to pass industrial requirements.
Wireless charging for EVs (Electric Vehicles) is an emerging technology, but one that has always been dreamed of by mankind, which allows us to completely change the way electric vehicles are charged. With it, it is possible to fully recharge your car automatically and without the need for any connection of electrical cables or sockets.
The vehicles of the future will be more ecological and efficient - a perfect combination of hydrogen technology and artificial intelligence. The goal of a future based on safety, freedom and equality is the cornerstone of Hyundai Motor. The goal of low environmental impact means abandoning coal technology in favor of renewable energy.
Conversational AI is a rapidly growing field of machine learning that aims to make human-computer interaction more natural and intuitive. It uses advanced algorithms and techniques to understand natural language input and enable machines to respond like humans.
Gallium nitride semiconductor technology is transforming many industrial fields due to its ability to work better and more efficiently than standard silicon-based parts. GaN has many benefits, such as a wide bandgap, high electron mobility and strong chemical bonds. These properties have led to widespread use in many applications requiring small size, high power density and heat resistance.
In the current age of electric mobility, there is a crucial need for power electronics that are both efficient and high-performing. Traction inverters are crucial components in electric vehicles (EVs) as they are responsible for transforming DC power from the battery into AC power to operate the electric motor.
Microchip Technology introduces the PIC16F13145 series of single chip computers (MCUS) to provide tailor-made hardware solutions. This family of MCUS is equipped with a new kernel-independent peripheral (CIP) that allows you to configure logic block modules to create custom hardware-based combined logic functions directly within the MCU.
To reduce the time required to charge, the industry is using DC fast chargers (DCFCs) and ultra-fast chargers. The DCFCs and ultra-fast chargers bypass the on-board chargers of electric vehicles and provide more power directly to the battery, which can be charged at a rated current of 200-500 A, depending on the capacity of the battery.
The idea of baking security into an application isn’t new in the software world, nor are security features in semiconductor technologies, such as memory. But the value of data, particularly in artificial-intelligence (AI) workloads, means hardware-enabled security is getting more attention.
