The road to decarbonisation for the commercial vehicle sector is proving to be a complex and challenging journey, with experts highlighting that a straightforward ‘combustion engine ban’ for lorries and other commercial vehicles is far more difficult to implement than for passenger cars.

Following the European Union’s strict CO2 fleet regulations for passenger vehicles, which effectively introduce a ban on combustion engines, stringent greenhouse gas limits are also being rolled out for commercial vehicles.

Experts at the International Vienna Motor Symposium stressed that the industry is racing to develop a wide array of solutions to match the huge diversity of vehicles on the road – from long-distance trucks and small delivery vans to construction and agricultural machinery.

Prof. Bernhard Geringer, Chairman of the International Vienna Motor Symposium, noted that the entire commercial vehicle industry is working on a wide range of solutions needed to match the diversity of vehicle types on the road in view of the developments expected in 2026.

The legislative pressure is intense. Tobias Stoll, a project manager at the Research Institute for Automotive Engineering and Vehicle Engines Stuttgart (FKFS), pointed out that EU legislation stipulates ‘a 45 percent reduction in CO2 emissions by 2030 compared to 2019,’ with manufacturers facing heavy financial penalties for non-compliance.

This has set the industry's course, with Frederik Zohm (pictured above), Chief Technology Officer at MAN Trucks & Bus, expecting ‘major transformations in the commercial vehicle sector by 2030.’

Egon Christ, Chief Strategist at transport and logistics service provider Mosolf, commented: ‘The course has been set.’

However, the existing transport model, especially for long-haul journeys, is heavily reliant on fossil fuels. A typical diesel lorry has a service life of 1.5 million kilometres, often covering up to 200,000 kilometres annually.

Ten years ago, EU forecasts anticipated a dominant role for hydrogen and a minor one for battery-electric trucks. The reality has turned out to be ‘exactly the opposite,’ according to Nils-Erik Meyer, a division manager at Akkodis Germany.

Today, there are only around 10 fuel-cell truck models in the EU, compared to over 40 battery-electric models.

While battery-electric vehicles are currently the most technologically advanced, their widespread use hinges on a massive overhaul of charging infrastructure.

Oliver Hrazdera, site manager at Akkodis Austria, calculated: “For trucks with an electric range of 500 kilometres, the EU needs 2,000 charging points with 650 or 1,000 kilowatts of charging power.”

Batteries, payload and hydrogen’s setbacks

Freight companies prioritise fast turnarounds, which necessitates rapid charging. Dorothea Liebig, a manager at Shell Global Solutions Germany, explained that the maximum charging capacity for trucks ‘is up to eight times higher than for cars.’ She also highlighted the alternative of battery swapping, particularly prevalent in China, where it is ‘fully automated and takes just seven minutes’ at the over 1,200 existing battery replacement stations for trucks.

For many journeys, electric trucks are already viable. Meyer from Akkodis calculated that with a mandatory driver break and recharging, a truck could cover ‘around 630 kilometres are possible in one shift. This covers 90 percent of all journeys.’

However, a key disadvantage of battery-electric lorries is the impact on payload, which is reduced by ‘three to six tonnes for the drive system, mainly due to the batteries,’ according to Meyer. By contrast, hydrogen fuel cells only reduce the payload by one tonne.

Despite this advantage, enthusiasm for fuel cells has cooled in Europe. Markus Heyn, Managing Director of Robert Bosch and Chairman of Bosch Mobility, reported that in Europe and the US, a major hurdle has been the substantial cooling requirements for fuel cells, which need ‘two to two and a half times more cooling surface area than diesel trucks,’.

According to Rolf Dobereiner, product line manager at AVL List. This increased requirement consumes up to 40 kilowatts, reducing driving performance and creating challenges for achieving the high-power outputs needed for heavy-duty haulage.

An unexpected dark horse has emerged: the hydrogen combustion engine. This technology offers compelling benefits, as it doesn't require the costly, high-purity hydrogen needed for fuel cells.

Christian Barba, Senior Manager at Daimler Truck, noted that it saves costs ‘as 80 percent of the parts of a diesel engine can be reused.’

Moreover, Anton Arnberger, Senior Product Manager at AVL List, reported that it ‘is the only zero-emission technology that does not require the use of rare earths.’

The hydrogen engine ‘could achieve the torque and power of a gas or diesel engine,’ said Lei Liu, a manager at Cummins in Beijing. Cummins is testing these vehicles in India, where they are seen as a main pillar for transport decarbonisation, given the lack of a comprehensive power grid required for electric trucks.

Developers are also looking at alternatives to gaseous hydrogen. The trend in Europe is moving towards liquid hydrogen, which allows for longer ranges and is cheaper to store.

Furthermore, Yuan Shen, Chief Developer at Zhejiang Geely Holding in China, proposed methanol as ‘the best carrier of hydrogen,’ as it is a liquid fuel that is easy and safer to store and transport.

Shipping, special vehicles and hybridisation

Decarbonisation is equally challenging on the high seas. Andreas Wimmer, a professor at Graz University of Technology, reported that engines for the 100,000 ocean-going vessels in service today have a life span of over 25 years and cost hundreds of millions of euros.

By 2050, these giants must also be CO2-free. While the combustion engine will remain, fossil heavy fuel oil must be replaced by ammonia (considered an ‘up-and-comer’), methanol or limited-quantity biofuel.

The special vehicle sector – such as construction and agricultural machinery – presents one of the toughest challenges. Stefan Loser, department head at MAN Truck & Bus, noted that a forage harvester would need ‘36 tonnes of batteries to run purely on electricity,’ which is impractical. For such machines, which are used intensively for short periods, hydrogen fuel cells or combustion engines running on synthetic fuels will be essential.

Finally, in the USA, where the decarbonisation of transport is ‘less aggressive than in Europe,’ according to Chris Bitsis, head of development at the Southwest Research Institute, hybridisation (the combination of combustion engines and electric drives) is seen as a key strategy to maintain everyday usability while significantly reducing consumption and emissions.

Summing up the current situation, Prof. Bernhard Geringer concluded that battery-electric drives in commercial vehicles are currently only realistic for distances of up to 500 km and with sufficient fast-charging options. He stressed that the special vehicle sector is particularly difficult, which is where ‘hydrogen fuel cell drives or combustion engines with synthetic fuels come into play.’

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Cars24 has announced a strategic partnership with OpenAI to deploy artificial intelligence (AI) models and agents across its business operations. The collaboration focuses on embedding AI into vehicle discovery, sales, financing and post-purchase engagement across all markets where the company operates.

Unlike traditional pilot programmes, the initiative involves the integration of OpenAI’s technology into production environments to manage high-volume workflows. The partnership aims to transition the platform from manual automation to systems that assist in decision-making and data retrieval.

Cars24 has already deployed OpenAI’s Enterprise APIs across several internal and customer-facing functions. According to company data, the integration has resulted in a 50 percent increase in support resolution through assisted troubleshooting and an 80 percent reduction in turnaround time for service workflows.

Current deployment statistics include:

• Customer Outreach: AI agents now manage 20 percent of outbound conversations.
• Internal Adoption: 85 percent daily active usage of ChatGPT Enterprise among the central workforce.
• Functionality: Teams utilise the tools for data analysis, code development, and the summarisation of operational cases.
• Accessibility: The Cars24 application is now available on the ChatGPT Store for conversational vehicle discovery.

The partnership is designed to reduce dependencies on manual processes in automotive transactions. By embedding models into core workflows, the company intends to shorten decision cycles for buyers and sellers. Future phases of the rollout will include expanding these AI experiences to additional languages and product lines.

Vikram Chopra, CEO and Founder, Cars24, said, “Automotive commerce is operationally heavy by nature with multiple checkpoints, fragmented information and high-consideration decisions. Over time, we’ve realised that incremental improvements aren’t enough; the system itself needs to become more intelligent. Our collaboration with OpenAI is a step in that direction. By embedding AI into core workflows rather than layering it on top, we can reduce manual dependencies, improve consistency and shorten decision cycles. We don’t see this as a short-term advantage, but as foundational infrastructure that will compound in efficiency and trust over the years.”

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Tata Technologies has announced a partnership with WITTENSTEIN High Integrity Systems (WHIS) to accelerate the development of Software-Defined Vehicles (SDVs). The collaboration involves integrating WHIS’s SAFE RTOS into Tata Technologies’ automotive software stack.

The integration is designed to assist original equipment manufacturers (OEMs) and Tier 1 suppliers in meeting functional safety standards, such as ISO 26262. The partnership focuses on the transition towards connected, autonomous, and electrified mobility by providing safety-certified architectures for complex vehicle ecosystems.

SAFE RTOS provides real-time performance and reliability, serving as a component within the Tata Technologies SDV platform. This allows for the development of software architectures that support the increasing centrality of software in vehicle design.

The partnership combines Tata Technologies' experience in automotive software with WHIS's embedded software solutions to address requirements for scalable and certified systems.

Andrew Longhurst, Managing Director, WITTENSTEIN High Integrity Systems, said, “Software is at the heart of the automotive industry’s evolution. Our partnership with Tata Technologies ensures that OEMs and Tier 1 suppliers can leverage SAFE RTOS to achieve the highest levels of safety and performance in their software-defined vehicle architectures.”

Nachiket Paranjpe, President – Automotive Sales, Tata Technologies, added, “By combining Tata Technologies’ expertise in automotive software development with WHIS’s proven safety solutions, we are empowering our customers to accelerate SDV adoption and deliver cutting-edge mobility experiences.”

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CATL and the BMW Group have signed a Memorandum of Understanding (MoU) to expand cooperation on battery supply chain data exchange and decarbonisation. The agreement was finalised in Beijing during a visit by a German delegation including Chancellor Friedrich Merz.

The partnership focuses on pilot projects for cross-border data transfer under the Battery Passport framework. The companies will collaborate on carbon accounting methodologies and tools to calculate the carbon footprints of power batteries.

The initiative utilises Catena-X, a standardised automotive data ecosystem, to align technical standards and policy frameworks. By testing Battery Passport applications, CATL and BMW aim to meet China-EU regulatory requirements and establish global data standards for the battery industry.

The cooperation is intended to improve digital management and ensure compliance with EU market access regulations regarding green product competitiveness.

The strategic relationship between CATL and BMW began in 2012. Previous collaborations have covered battery production, research and development and supply chain sustainability. This MoU shifts the partnership from product-level cooperation to institutional coordination for electric mobility.

CATL stated its intention to continue cooperation with international partners to use technology for the global energy transition and the sustainability of the automotive sector.

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The BMW Group is accelerating the digital transformation of its manufacturing operations by embedding artificial intelligence deeply into physical processes. A central focus of this strategy is Physical AI, a concept that unites digital intelligence with machinery and robotics. This integration allows systems like humanoid robots to function effectively within live production environments. For the first time, this approach is being introduced in Europe through a pilot project at the company’s Leipzig plant, where humanoid robots will be tested in the assembly of high-voltage batteries and component manufacturing. This initiative builds on a previous deployment at the Spartanburg plant in United States, where valuable experience was gained and is now being used to refine and scale the technology.

Artificial intelligence is already embedded throughout the BMW production system, underpinning functions such as digital twins, AI-supported quality assurance and autonomous transport in intralogistics. A unified data architecture serves as the foundation for this intelligence, enabling real-time access to consistent and standardised information across all manufacturing locations. This infrastructure supports the deployment of digital AI agents capable of autonomous decision-making in complex environments. When these agents are paired with robotic systems, they give rise to Physical AI, which represents a significant evolution in production technology.

The company views humanoid robotics as a strategic addition to its automation portfolio. These robots are particularly suited to tasks that are repetitive, physically strenuous or present safety risks. By deploying them in such roles, the company aims to reduce physical strain on employees and enhance workplace conditions. To drive this forward, a Center of Competence for Physical AI in Production has been established to consolidate expertise and facilitate knowledge sharing across the organisation.

A structured process governs the evaluation of potential technology partners. Candidates are assessed against criteria related to maturity and industrial applicability, followed by laboratory testing using real production scenarios. Successful tests lead to limited deployments under actual factory conditions before advancing to full pilot phases. This methodology ensures that only thoroughly vetted solutions are integrated into series production.

The Leipzig pilot is being conducted in collaboration with Hexagon, a longstanding partner specialising in sensor technology and software. Following theoretical and laboratory evaluations, an initial deployment of Hexagon’s humanoid robot, AEON, took place at the plant in December 2025. A second test phase is scheduled for April 2026, with the full pilot set to begin in the summer of that year. The robot’s human-like design allows for the attachment of various tools and grippers, making it adaptable for multiple tasks in battery assembly and parts manufacturing.

Earlier work at the Spartanburg plant provided critical insights into the practical application of humanoid robotics. In partnership with Figure AI, the robot Figure 02 was deployed in body shop operations, where it handled the precise placement of sheet metal parts for welding. Over 10 months, the robot supported the production of more than 30,000 vehicles, operating in 10-hour shifts and handling over 90,000 components. The pilot demonstrated that humanoid robots could perform high-precision tasks reliably and safely in a live production setting. It also highlighted the importance of early collaboration with teams responsible for IT infrastructure, safety and logistics. Seamless integration into the existing automation ecosystem was achieved through standardised interfaces, and employee reception was notably positive, aided by transparent communication from the outset.

The success of these initial deployments has paved the way for further collaboration. BMW and Figure are currently exploring additional applications for the next-generation Figure 03 robot, continuing to build on the foundation established in both United States and Europe.

Milan Nedeljković, Member of the Board of Management of BMW AG, Production, said, “Digitalisation improves the competitiveness of our production – here in Europe and worldwide. The symbiosis of engineering expertise and artificial intelligence opens up entirely new possibilities in production,”.

Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group, said, “Our aim is to be a technology leader and to integrate new technologies into production at an early stage. Pilot projects help us to test and further develop the use of Physical AI – that is, AI‑enabled robots capable of learning – under real-world industrial conditions. The successful first deployment of humanoid robots at our BMW Group plant in Spartanburg in the USA proves that a humanoid robot can function not only under controlled laboratory conditions but also in an existing automotive manufacturing environment.”

Michael Ströbel, Head of Process Management and Digitalisation, Order to Delivery at BMW Group, said, “We are delighted to deploy a humanoid robot for the first time in a pilot project at a plant in Germany. Following evaluation by our Center of Competence for Physical AI in Production, tests were carried out in the laboratory and at Plant Leipzig at the end of last year. This year, our focus is on step‑by‑step integration into our production system to explore a wide range of applications. The emphasis is on researching multifunctional use of the robot in various production areas such as battery manufacturing for energy modules and component production for exterior parts. With Hexagon, we have found a proven long‑standing partner with a highly innovative approach to humanoid robotics for this project.”

Felix Haeckel, Team Lead CoC Physical AI for Production, said, “At our new Center of Competence for Physical AI in Production, we are pooling our expertise to make knowledge on AI and robotics widely usable within the company. In recent years, we have built up an international team of experts that, in addition to in‑house research and programming, is dedicated to the gradual integration of AI into the existing production system. At the same time, our team in Munich is driving its own robotics research to set up, support and further develop pilot projects in the field of Physical AI at our plants.”

Arnaud Robert, President of Hexagon Robotics, said, “We are very pleased to be working with the BMW Group to advance the use of humanoid robots in real‑world environments.”

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