The Ministry of Environment, Forest and Climate Change (MoEFC), Government of India, has issued a notification on rules for battery waste management in view of the shift to electric vehicles. Anticipating a need to have an organised channel for the safe disposal and recycling of batteries, the rules, called the Battery Waste Management Rules, 2022, are applicable to the producer, dealer, consumer, entities involved in collection, segregation, transportation, refurbishment and recycling of waste batteries.
All types of batteries, regardless of their chemistry, shape, volume, weight, material composition and use are covered under the rules. The rules also have a provision for penal action in case of a violation and imposition of environmental compensation. The ministry has also set a minimum recovery percentage target for recovered materials out of dry weight batteries.
The recovered materials will be then used to produce new batteries. For FY2024-25, the recovery target is set at 70 percent whereas for FY2025-26, it is 80 percent. The target for FY2026-27 is 90 percent. Mentioning that the recovery target may be reviewed by the committee once every four years to revisit the minimum levels of recovered battery materials in light of technical and scientific progress and emerging new technologies in waste management, the notification is expected to contribute towards enhancing each and every EV’s cost to the environment in India. This is especially in connection with the fact that nearly 1.4 million EVs as of July 2022 are said to operate in India if the data shared by the ministry of road transport and highways is relied upon. More than half of this volume is claimed to consist of electric three-wheelers followed by two-wheelers and passenger cars.
The PLI scheme and other policy changes in terms of manufacture and sale of electric vehicles, it is clear that a strong battery ELV and disposal policy has to be in place. From the cost to the environment point of view, a policy extension in terms of the manufacture of such batteries locally down to the fuel cell level should also taking into view the ability of the battery to perform efficiently through out its lifecycle, thus staying alive for longer and when it does die, it should be recyclable to a great extent.
Dr Akshay Singhal, Founder and CEO of Log9 Materials, averred. “The newly introduced Battery Waste Management standards by the Government under the Extended Producer Responsibility (EPR) concept addresses two important concerns. An efficient and effective waste management of all Li-Ion batteries that are nearing the end of their useful life and are expected to end up in landfills in a few years, avoiding any residual pollution impact. Second is the emphasis on investing in and nurturing the recycling of such used batteries, reducing the reliance on fresh resource mining.”
Shubham Vishvakarma, CEO and Chief of Process Engineering of Metastable Materials, said, “The Battery Waste Management Rules announced by the Government of India is an excellent and much-needed step towards bringing to the fore innovations and myriad growth opportunities for the battery waste management and battery treatment space in our country, especially at a time when the ongoing EV boom in India is leading us to increasing concerns on e-waste.” “Under the new Rules notified, the Government has mandated a minimum percentage of recovery of various materials from end-of-life batteries, which is bound to enable the growth of novel business models such as urban mining in order to reduce India’s foreign dependency on procuring raw materials for EV batteries and other types of batteries,” he added.
Ashok Sudrik, Chief Scientist, Infinite Orbit Research and Development Pvt Ltd, commented, “The Battery Waste Management Rules, 2022, were much needed and we are happy that government has started taking cognizance of the hazardous waste being created and the recycling or waste collection. Other than waste management recycling rules, there is a need for manufacturers to incorporate extension of battery life technologies, keep the lithium content minimal and develop innovative cell chemistry. The life of a battery should be 4000 to 6000 cycles, which means a life spane of about 10 to 15 years. BaaS (Battery as a Service) concept with swappable batteries will be a big contributor to the ultimate goal of keeping cost to the environment low.”
In other parts of the world
In Canada, Li-Cycle will begin constructing a USD 175 million plant in Rochester, N.Y., for recycling of lithium-ion batteries. On the grounds of what used to be the Eastman Kodak complex, the plant will be the largest of its kind in North America with an eventual capacity of 25 metric kilotons of input material and a capability to recover 95 percent or more of cobalt, nickel, lithium and other valuable elements through zero-wastewater, zero-emissions process. Ajay Kochhar, Co-founder and CEO, Li-Cycle, said, “We'll be one of the largest domestic sources of nickel and lithium, as well as the only source of cobalt in the United States."
In May 2022, Hydrovolt, the largest battery recycling plant in Europe started operations in Fredrikstad, Norway. A joint venture between two Norwegian companies – Hydro and Northvolt, the plant has the capacity to process 12,000 tonnes of battery packs per year, enough for the entire end-of-life battery market in Norway currently. Claimed to have the capability to recover 95 percent of the materials used in an EV battery including plastics, copper, aluminum and ‘black mass’, a powder containing various elements inside lithium-ion batteries like nickel, manganese, cobalt and lithium.
Not just in Europe or US, the rise of Electric Vehicles (EVs) and associated battery gigafactories is pushing forward the creation of a battery recycling value chain. It is a matter of debate whether it got to be a close-loop or an open-loop design in terms of sourcing of batteries to recycle and to put the resulting material to good use so that the cost to the environment is kept minimal. As the demand for use of ‘green’ electricity source gathers pace the world over, on the other end of the spectrum, which involved the end-of-life vehicle for EVs, the demand for recycling in increasing partly due to regulations – the EU regulations have just intensified – and partly by a demand for re-use of materials due to geo-political reasons as well. A strong desire to localise supply chains and safeguard critical raw materials are also the driving factors.
- TIER IV
- Next-Generation Edge AI Semiconductor Research and Development Programme
- Japan Science and Technology Agency
- JST
- Level 4 autonomous
- SoC
- Professor Yoshihiro Kawahara
- Tensor Operator Set Architecture
- TOSA
- PyTorch
- Shinpei Kato
TIER IV Joins Japan's Edge AI Semiconductor Development Programme
- By MT Bureau
- August 16, 2026
Open-source autonomous driving software company TIER IV has joined the Next-Generation Edge AI Semiconductor Research and Development Programme, led by the Japan Science and Technology Agency (JST). The initiative focuses on the development of a software-defined system-on-chip (SoC) designed for Level 4 autonomous driving applications.
As part of the programme, a team led by Professor Yoshihiro Kawahara at the University of Tokyo is researching physical AI chip design based on specific use cases. Concurrently, TIER IV is developing the logic design for an AI chip aimed at processing inference for end-to-end autonomous driving systems. TIER IV plans to open-source the resulting logic design, compiler, and software toolchain to allow semiconductor manufacturers and developers to modify and build upon the hardware architecture.
The project focuses on developing hardware architectures tailored for Transformer AI models, which process sensor data from cameras and point clouds for perception and motion planning.
The chip design incorporates dedicated circuits for matrix multiplication and attention mechanisms, aiming to reduce power consumption from external memory transfers. To maintain software adaptability, TIER IV is integrating the Tensor Operator Set Architecture (TOSA) as an intermediate representation layer between AI frameworks such as PyTorch and the chip hardware.
The initiative also applies formal verification techniques to mathematically trace numerical consistency during AI model compilation.
Shinpei Kato, Founder and Chief Executive Officer, TIER IV, said, “Advances in AI have been accelerated by powerful computing platforms, including GPUs, which have enabled rapid progress across the industry. As Level 4 autonomous driving moves toward broader deployment, we believe the next step is to complement these platforms with computing architectures designed for real-world and real-time requirements. Through this initiative, we are introducing a software-defined and open approach to AI chip design that combines power efficiency, adaptability, transparency and verifiability. In particular, the ability to understand how an AI model is transformed for execution and to verify the correctness of that processing will be increasingly important as autonomous driving systems are deployed in safety-critical environments. By extending the open-source philosophy behind Autoware from software to AI chip design and related toolchains, we aim to create an open ecosystem in which automakers, semiconductor manufacturers and developers can build upon the technology and continue advancing their own systems. This represents an important step toward a scalable, adaptable and reliable computing foundation for Level 4 autonomous driving.”
Professor Yoshihiro Kawahara stated, “In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices. This project aims to fundamentally overcome this constraint through a functionally differentiated chip design backward-mapped from specific use cases. I look forward to TIER IV developing chips responsible for high-level decision-making – specifically, the high-level behavioural layer that handles the thinking process essential for end-to-end physical AI and autonomous driving. As the leading force behind Autoware, the global standard open-source software for autonomous driving, TIER IV is democratising design, with an approach spanning application requirements to hardware. This enables applied researchers to shape their ideal semiconductors. This initiative, supported by an open ecosystem, has the potential to lay the foundations for a steady stream of Japanese startups creating high-value semiconductors.”
- Stonerdige
- Inc.
- EVO ECU
- IAA Transportation 2026
- Renesas Electronics
- Christian Leblanc
- Natalia Noblet
- Aish Dubey
Stoneridge To Debut EVO ECU Platform For Commercial Vehicles At IAA Transportation
- By MT Bureau
- August 14, 2026
American automotive supplier Stoneridge, Inc. has announced details of its EVO ECU Platform, which will debut at IAA Transportation 2026 in Hanover, Germany.
The electronic control unit (ECU) is engineered for commercial vehicles, buses, coaches and off-highway applications to consolidate system architecture and support software-defined capabilities.
The platform replaces multiple individual control units with a centralised processing architecture designed to manage vehicle data, enable remote software updates and facilitate diagnostics.
The ECU is developed in collaboration with technology partner Renesas Electronics using its R-Car system-on-chip technology and the hardware is built to withstand operating conditions involving temperature variations, vibration and dust exposure.
Christian Leblanc, Global Vice-President of Product and Project Management, Stoneridge, said, “Commercial vehicles are becoming increasingly connected and intelligent, but traditional vehicle architectures were not designed to support the pace of innovation happening today. EVO provides a scalable platform that helps simplify integration, improve vehicle performance and give our customers the flexibility they need to adapt as technology continues to evolve.”
“Fleet customers were at the centre of our development process. EVO helps enable faster troubleshooting, fewer service interruptions and the ability to continuously improve vehicle capabilities throughout the vehicle lifecycle,” added Leblanc.
The software structure was developed alongside Green Hills Software to segregate safety-critical operations while allowing system updates. Additionally, Stoneridge partnered with indie Semiconductor to produce the platform's image processor, supporting camera integration and driver assistance systems.
Natalia Noblet, President and CEO, Stoneridge, said, “Our industry is undergoing a significant transformation, driven by increasing connectivity, automation and evolving regulatory requirements. EVO represents our commitment to helping customers navigate that transformation with a flexible platform designed to support innovation today and tomorrow.”
Aish Dubey, Vice-President and Head of the HPC SoC Division, Renesas Electronics, commented, “Stoneridge’s EVO ECU Platform demonstrates how commercial-vehicle manufacturers can modernise vehicle electronics for demanding operating environments. Our collaboration brings together Stoneridge’s commercial-vehicle expertise and Renesas’ R-Car system-on-chip, power-management and programmable mixed-signal technologies to create a scalable, automotive-grade foundation for connected and software-defined commercial vehicles.”
The system has undergone field testing within the Stoneridge Innovation Truck demonstrator vehicle, which will be exhibited alongside the platform at the Hanover trade show.
Rapido Secures 5-Year Aggregator License For Cab Services In Karnataka
- By MT Bureau
- August 13, 2026
Roppen Transportation Services, which operates under the brand name Rapido, has received an aggregator license from the Karnataka State Transport Authority under the Karnataka On-Demand Transportation Technology Aggregators Rules, 2016.
The licence authorises the platform to operate cab services in the state for a period of five years, remaining valid until August 2031.
The regulatory approval affects Rapido's operations across 21 cities in Karnataka, where the platform reports 314,000 drivers, referred to by the company as captains and over 20.4 million registered users.
According to company figures, more than 6.9 million users have taken cab rides via the platform within the state. The company's operations span urban centres including Bengaluru, Mysuru, Mangaluru, Hubballi-Dharwad, Belagavi, Davangere, Shivamogga, Ballari, Kalaburagi and Tumakuru.
Pavan Guntupalli, Co-Founder, Rapido, said, “Karnataka is our home state and one of our most important markets. Over the years, Rapido has become a trusted mobility platform for millions of customers in the state, while creating earning opportunities for lakhs of captains. We welcome the grant of the licence under the Karnataka On-Demand Transportation Technology Aggregators Rules, 2016, for cab services. This development gives us the opportunity to strengthen our cab offering within a formal regulatory framework, while continuing to work closely with the Government of Karnataka and the Transport Department to support safe, reliable and accessible mobility for commuters.”
In addition to securing the operational licence, Rapido has been included in the Urban Mobility Mission initiated by the Government of Karnataka. The initiative aims to align private platform operations with state transport priorities, focusing on multimodal connectivity, transit technology integration and transport infrastructure in urban centers.
“Rapido’s ambition is to be a long-term mobility partner for Karnataka as the state builds the next generation of urban transport. Clear and predictable regulation benefits the entire mobility ecosystem, commuters, captains, platforms and the government. Our priority is to operate in full compliance with the state framework, while continuing to strengthen safety, service reliability and meaningful earning opportunities for captains,” added Guntupalli.
LTTS Launches End-to-End Agentic AI Solution For Manufacturing And R&D
- By MT Bureau
- August 11, 2026
L&T Technology Services has introduced AgenticIQ, a comprehensive Agentic AI platform tailored for engineering and manufacturing sectors. The end-to-end system is designed to facilitate the shift from isolated AI experiments to full-scale operational deployment. It achieves this by enabling autonomous, multi-agent workflows that span product development, manufacturing and customer experience, thereby promoting widespread Engineering Intelligence adoption.
Despite rising corporate AI investments, many projects remain stalled at the pilot phase due to fragmented engineering systems and manual processes. Highly regulated environments further complicate scalability, as organisations struggle to balance autonomous operations with strict governance and security protocols. AgenticIQ directly addresses these hurdles by embedding a planning-first architecture into existing production workflows.
Built upon LTTS’ existing Engineering Intelligence portfolio, the platform converts proven capabilities into reusable, specialised AI agents that function within enterprise governance frameworks. It ensures the protection of critical data and intellectual property while supporting a new agentic delivery model. With a cloud-agnostic design, the platform serves R&D-heavy industries like automotive, healthcare and semiconductors, allowing clients to deploy solutions anywhere without losing control over proprietary knowledge and workflows.
Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “The next phase of Engineering Intelligence will be defined by how effectively autonomous AI agents collaborate to solve complex industry challenges across engineering, production and customer experience. Over the years, LTTS has built AI-powered engineering solutions that address domain-specific business problems across industries. With AgenticIQ™, we are transforming these proven capabilities into reusable AI agents on a unified Agentic AI platform that enables enterprises to rapidly build, orchestrate and deploy next-generation agentic solutions at scale.”

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