Pune: Intangles Lab Pvt. Ltd., one of India’s fastest-growing Digital Twin solutions providers, has announced the launch of its Ambient Cognitive AI Technology for Electric Vehicles (EVs). The suite of cutting-edge algorithms has been specifically developed to tackle range anxiety, one of the most significant obstacles in large-scale EV adoption for the commercial vehicle industry.
EVs have been found to deliver, on average, 12.5% below their advertised range, according to a study published by SAE International. The study also revealed that only 17% of the tested EVs exceeded their estimated range. As per SAE recommendations, EVs are allowed an adjustment factor of 0.7 or higher, which means that the real-world range can be up to 30% lower than the calculated range. Inconsistent State-of-Charge measurements and unreliable Distance To Empty (DTE) readings have long plagued EV fleets, leading to ad hoc charging sessions which cause unexpected disruptions and inefficiencies. Intangles’ platform provides a comprehensive solution by assimilating weather predictions, forecasts around motor performance and vehicle dynamics while also compensating for battery degradation over time.
“Our models are able to reach accuracies of 94-96% across varying driving conditions, thus supplementing range projections on vehicle HMIs (Human Machine Interfaces),” said Co-founder and Head of Analytics Aman Singh. “Our technology will undoubtedly help accelerate EV adoption by addressing one of the biggest concerns among fleet operators – range anxiety.”
Accounting for varying driving conditions across diverse geographies and different time periods of the day, Intangles’ AI models perform multi-parametric forecasting across diverse variables, including motor torque, vehicle speed, ambient temperature guiding cell chemistry and sunset-sunrise trends which influence the use of HVAC and lighting. This approach enables consistently accurate range predictions across dynamic driving ecosystems. Fleets can now plan their routes and deploy charging infrastructure more effectively.
“The technology has been designed to cater to a variety of EV platforms, ranging from last-mile mobility three-wheelers to heavy commercial vehicles. Our platform has the potential to benefit various segments, including e-commerce, last-mile logistics, long-distance freight and passenger transport. Our focus is to provide a comprehensive and reliable solution that can optimize range estimation for EVs, reduce charging downtime, and improve overall energy efficiency for the consumer,” said Co-founder and CEO Anup Patil.
With the launch of this innovative technology, Intangles is positioning itself as a leader in the development of physics-informed machine-learning solutions for EV performance monitoring. The platform provides meaningful insights into battery usage, motor health and energy-efficient driving behavior, enabling EV fleets to plan their routes and charging sessions more efficiently.
About Intangles Lab
Intangles Lab started operations in 2016. The company aims to transform how organizations do business by leveraging its proprietary Digital Twin technology. Working with physics-based analytics and machine learning to simulate the real-world environment into a virtual world, Intangles provides real-time and predictive insights, augmented with a large repository of repair strategies and recommendations. Intangles lets operators in the mobility space monitor, benchmark and conduct predictive maintenance of assets to enhance their overall uptime & profitability.
