Chip Shortage Eases

Chip Shortage Eases

The global shortage of semiconductors or chips in the aftermath of the Covid-19 led pandemic has eased as per a report by Crisil. A development that led most automakers to cut down production significantly and postpone the launch of new models or to put them to production through 2020, 2021, 2022 and a good part of 2023 has finally eased to iron out any supply chain disruptions that may be there. 

Expected to address and improve predictive demand forecast, the better availability of chips should enable better production schedules. By FY2025-26, Crisil analysts are of the opinion that demand-supply dynamics should be more balance with additional manufacturing capacities getting commissioned. 

With the chips possessing distinct electrical properties that make them the cornerstone of all electronic equipment and devices, it is the auto industry that has come to use them for a variety of functions as automobiles turn increasingly software driven. While the computer and communication equipment (C&C) segment consumes roughly 63 percent of the chips produced, the auto industry consumes roughly 13 percent of them. The other industrial segments consume about 12 percent. 

With new developments such as autonomous and EVs, the use of semiconductors in automobiles is only slated to rise. With passenger vehicles the recipient of most technological innovations ahead of other segments such as two-wheelers, three-wheelers and commercial vehicles, it should not come as a surprise that they consume about 1,500 chips on average – the highest among all automobile types. 

As more advanced electronic features are incorporated, the use for chips increases. The electric passenger vehicles, for example, use almost twice as many chips as internal combustion engine (ICE) passenger vehicles do. The improving supply and slowing demand for computers and mobile phones is therefore looked upon as a blessing in disguise for automobiles and their manufacturers. 

Anuj Sethi, Senior Director, CRISIL Ratings, mentioned, “The chip shortage faced by Indian passenger vehicle makers is easing, with current availability at 85-90 percent of total requirement. The production loss on account of the chip shortage, which had halved to about 300,000 PVs on-year in fiscal 2023, is estimated to have further declined to under 200,000 PVs by the end of September 2023.”

Most passenger vehicle manufacturers are currently operating at near optimal capacity utilisation due to stronger-than-anticipated demand. New orders to be serviced remains high at about 700,000 units at the end of September 2023. 

The easing of chip shortage should help automakers honour new orders with better prediction and faster production. Global automobile demand, severely impacted by the Covid-19 pandemic, made a strong recovery in the latter part of FY2021-22. It caught automobile manufacturers off guard as they had not placed substantial orders for chips. 

The surge in demand for personal computers, laptops and mobile phones, driven by work from home, virtual learning and remote healthcare services, led to a significant chip procurement challenge for the automakers. 

Geographically, the chip ecosystem is skewed, with western nations dominating chip architecture, design, manufacturing equipment, specialised materials and chemicals. Semiconductor fabs1 on the other hand are concentrated in eastern nations, such as Taiwan and South Korea.

Given the criticality of chips in the defense and aerospace industries, the United States and the European Union have offered incentives of about USD 100 billion for localisation of semiconductor fabs. As a result, many global players are slated to spend about USD 360 billion towards setting up new facilities, which would be operational by 2025 and 2026. 

In the Indian context, demand for chips will continue to increase over the medium term, driven by the gradual rise in EV adoption and growing demand for advanced feature-laden ICE vehicles.

Horse Powertrain Launches V20 Engine Via Aurobay Technologies

Horswe V20 Engine

Horse Powertrain, a leading supplier of powertrain solutions, has launched the V20 engine through its Aurobay Technologies division with production already underway at its Skovde, Sweden, manufacturing facility.

The V20 engine aims to assist automakers in meeting emission regulations for 2026 and 2027 with units destined for customers in Europe, the US and Asia. The 2.0-litre, 4-cylinder engine features a single architecture offered in two variants: a 400-volt plug-in hybrid and a 48-volt mild hybrid. The plug-in version provides a reduction in fuel consumption of seven per cent compared to the predecessor.

The platform design intends to reduce material costs. Hardware for the plug-in variant includes a crankshaft-mounted starter-generator, a mechanical water pump, and a re-routed cooling system. Additional updates include a multi-injection fuel system, an engine management system, and an air induction system.

Ingo Scholten, Managing Director, Aurobay Technologies Sweden and Deputy CTO of Horse Powertrain, said, “Designing one engine to meet three different regulatory regimes is harder than designing three separate engines. As the regulatory map is fragmenting, one engine that meets all three sets of rules delivers greater value to our customers, ensuring we can offer greater economies of scale. Pulling that off requires serious engineering. Further, the Skovde team also successfully changed production lines while keeping current production running.”

The Skovde plant integrated a final assembly line with the base assembly line to improve material flow. This transition occurred during ongoing operations. Output is scheduled to increase through 2026 and 2027 to meet demand.

AEye And MoveAWheeL Ink MoU For Automotive Sensing Collaboration

aeye

AEye, Inc. and MoveAWheeL have signed a Memorandum of Understanding to explore the integration of their sensing technologies for use in Advanced Driver Assistance Systems (ADAS) and autonomous driving applications.

The partnership aims to combine AEye’s lidar perception with MoveAWheeL’s road-surface sensing to assist vehicles in interpreting surroundings and road conditions.

The collaboration will evaluate the pairing of AEye’s Apollo LiDAR sensor with MoveAWheeL’s friction-coefficient prediction technology. Apollo is a 1550-nanometer LiDAR sensor capable of detecting objects at distances of up to one kilometre. MoveAWheeL’s sensor uses acoustic sensing to estimate the friction of road surfaces, providing data to inform decisions regarding acceleration, braking and stability control.

Matt Fisch, Chairman and CEO of AEye, said, “Physical AI depends on giving machines the ability to accurately perceive and understand the real world. Apollo was designed to deliver long-range, real-time 3D perception that helps systems see farther and react earlier in complex environments. By exploring the integration of Apollo with MoveAWheeL’s road-surface intelligence, we have the opportunity to create an even deeper understanding of the driving environment, particularly in the adverse conditions where advanced safety systems are needed most.”

Dr. Min-Hyun Kim, Founder and CEO, MoveAWheeL, said, “While LiDAR provides the ‘eyes’ for a vehicle to see obstacles, MoveAWheeL provides the ‘tactile sense’ to feel the road. By integrating our Physical AI with AEye’s long-range perception, we are creating a complete safety stack that remains robust even in the most treacherous weather conditions.”

L&T Technology Services Opens Engineering Intelligence Centre Of Excellence In Europe

LTTS - EI CoE

L&T Technology Services (LTTS), a leading ER&D sevices company, has inaugurated its first Engineering Intelligence Centre of Excellence (EI CoE) in Munich, Germany. The facility marks a step in the company's Engineering Intelligence (EI) strategy, which focuses on embedding AI across the engineering lifecycle to support intelligent products, autonomous operations and manufacturing systems.

The centre aims to assist global enterprises in transitioning from AI experimentation to industrial transformation by combining domain engineering expertise with technologies such as GenAI, Agentic AI, multimodal AI, Physical AI and edge intelligence. LTTS states that it has filed over 237 patents in AI and GenAI during FY2026.

Located within a technology ecosystem, the Munich EI CoE will function as a collaborative hub for clients in the mobility, industrial products, sustainability and technology sectors. Its work will focus on: Applied AI solutions, Intelligent manufacturing, Software-defined products, Predictive operations and Connected engineering ecosystems.

At present, LTTS serves more than 60 clients in Europe with a team of over 4,500 engineers. The new centre is intended to improve local collaboration with clients, partners and academic institutions, facilitating outcome-driven innovation.

Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “LTTS’ first EI Centre of Excellence in our Munich design centre is a milestone as it brings our deep-tech and EI-based solutions closer to the clients’ R&D hubs across the region. The centre will act as a focal point for innovation, R&D and new product development, redefining how products, platforms and manufacturing are engineered and optimised in the AI era.”

Stellantis Partners Accenture And Nvidia To Deploy Manufacturing Digital Twins

Stellantis - Accenture - Nvidia

European automaker Stellantis has announced a strategic initiative with Accenture to deploy artificial intelligence (AI)-enabled digital twin capabilities across its global manufacturing network using Nvidia technologies. The project focuses on creating virtual manufacturing environments powered by real-time data and physical AI.

The collaboration integrates Stellantis's automotive infrastructure, Accenture’s digital manufacturing engineering and Nvidia’s accelerated computing platforms and Omniverse libraries.

The system uses virtual factory replicas to validate manufacturing processes prior to physical installation, track metrics for quality control and conduct predictive monitoring.

Initial testing and deployment of the digital twin infrastructure are scheduled to begin with pilot programmes in North America in 2026. The long-term objective is to evaluate scalability across the carmaker's international plant footprint to establish a predictive manufacturing model.

Francesco Ciancia, Head of Manufacturing, Stellantis, said, “We are laying the foundation for the next generation of manufacturing at Stellantis. By combining digital twins, AI and advanced simulation, we are rethinking how we design, operate and continuously improve our production systems. This initiative is designed to work hand in hand with our teams, enhancing their ability to anticipate issues, enabling faster decisions and continuous improvement. Together with Accenture and NVIDIA, we are exploring new ways to drive more scalable and intelligent operations.”

Tracey Countryman, Supply Chain and Engineering Global Lead, Accenture, added, “The opportunity in manufacturing today is to scale AI across complex industrial operations in ways that deliver measurable business value. By partnering with Accenture and harnessing Nvidia’s compute and simulation technologies, Stellantis is positioned to accelerate manufacturing reinvention and lead the industry into a new era of intelligent, high-performance operations.”

The computational framework is built to enable closed-loop optimisation, a process where physical assembly lines and virtual systems continuously exchange data to improve performance. The architecture supports automated throughput adjustment, maintenance scheduling and software-defined factory operations.