Pune-based Intangles Lab, a Digital Twin solution provider, has unveiled what it claims is state-of-the-art Diesel Particulate Filter (DPF) solution.
Developed by the Technology & Innovation Group at Intangles, the AI-powered feature the company says will transform the commercial vehicle industry by offering advanced insights into DPF regeneration quality, significantly boosting fuel efficiency, and improving engine performance, while contributing to environmental sustainability.
Amidst growing environmental concerns and stringent emissions regulations, diesel engines have encountered the formidable challenge of soot accumulation in DPFs, resulting in clogs that degrade engine performance and increase maintenance costs. Intangles states its new DPF solution leverages advanced AI algorithms to offer predictive alerts on the need for DPF regeneration—effectively preventing the adverse effects of exhaust back pressure.
Dr Abhijit Patil, President – Technology & Innovation, Intangles Lab said, “Our team, through extensive research and testing, has developed a solution that not only addresses the immediate challenges of DPF clogging but also enhances the overall efficacy of active regeneration processes. By integrating multiple parameters around diesel engine exhaust, our system achieves an accuracy rate upwards of 95% in classifying and assessing the quality of regeneration cycles, ensuring vehicles maintain optimal performance while adhering to stringent emission standards.”
The new DPF feature additionally recommends the optimal choice of regeneration mode, taking into account varying environmental and vehicle-specific conditions. These recommendations allow fleet operators to plan well in advance for parked regeneration instead of continued operation in adverse conditions like city traffic or colder climates where traditional regeneration methods usually fail. The innovative approach to predictive maintenance thereby allows fleet operators to significantly reduce the risk of DPF clog-related issues and ensure uninterrupted operations.
Bhushan Patil, Chief AI Scientist, Intangles Labs added, “Our focus has always been on the practical application of advanced technologies to solve real-world problems. Feedback from our customers highlighted the prevalence of DPF soot overloading and exhaust back pressure failures. Our solution not only mitigates these issues but also contributes to a lower carbon footprint and improved fuel efficiency by as much as 3.5% to 5% over a vehicle’s monthly drive cycle.”
Intangles Lab says the DPF solution has quickly gained traction in the Indian and North American markets, where its relevance and utility have been keenly felt. The versatility and universal applicability of Intangles’ DPF solution underscore its potential to serve a wide array of diesel-powered vehicles, from heavy commercial vehicles ranging from 2,000-15,000 cc to passenger vehicles, ensuring vast improvements in performance and reliability.
The introduction of this solution the company claims marks a pivotal moment in AI-based digital twin technology for diesel engines, offering a robust answer to one of the industry’s most persistent challenges. With its impact on predictive maintenance, the DPF solution, along with a suite of other predictive maintenance solutions such as Battery-Alternator Monitoring, Air Intake Diagnostics, and Engine Coolant Temperature Anomaly Detection, improves fleet operations and aligns with global efforts towards environmentally friendly and sustainable transportation.
