Resources
Resources Hub
Your gateway to technical insights, research publications, and event highlights in automotive and embedded systems innovation.
Our Resources page is designed to serve as a comprehensive knowledge hub for engineers, researchers, and technology enthusiasts. Here, you will find detailed insights into key automotive and embedded systems technologies, including advanced Engine Control Units (ECUs), technical publications, and event highlights. Whether you are exploring innovative solutions, keeping up with industry trends, or seeking reference material for your projects, these resources aim to provide valuable, practical, and up-to-date information to support your learning and development journey.
We believe that knowledge sharing is the foundation of innovation, and through this platform, we strive to make advanced technical information accessible to all. Our curated content covers a wide spectrum—from cutting-edge research papers to hands-on workshop summaries—helping you stay ahead in the fast-evolving automotive sector.
Engine Control Unit (ECU)
The Engine Control Unit (ECU) is the brain of modern engines, managing essential functions like fuel injection, ignition timing, and air–fuel ratio to ensure optimum performance, fuel efficiency, and compliance with emission standards.
With ever-tightening regulations and diverse operating conditions, precise control over these parameters has become critical.
ECUs are generally classified into two main types:
Open ECUs – Flexible and customizable, these allow modification of control algorithms and tuning of engine parameters. Ideal for research, prototyping, and experimental setups.
Closed ECUs – Commonly used in production vehicles, these come with locked software to protect intellectual property and ensure robust, consistent performance.
While Closed ECUs are reliable for everyday use, their restrictive nature limits adaptability. Open ECUs, though versatile, can be expensive, complex to program, and harder to service. These limitations drive the need for developing custom ECU solutions that combine flexibility with ease of use.
Publications
Deep Learning-based Early Prediction of Lithium-Ion Battery State-of-Health
Published at the 5th International Conference on Electrical, Computer, Energy Technology, France, 2025.
This research focuses on leveraging deep learning techniques to predict the State-of-Health (SoH) of lithium-ion batteries at an early stage. The work addresses one of the most critical challenges in electric vehicle and energy storage applications—accurately assessing battery health before performance degradation becomes severe. By analyzing real-world operational data and applying advanced neural network models, the study demonstrates improved prediction accuracy compared to traditional methods.
The proposed approach enables proactive maintenance, enhanced safety, and extended battery life, making it a valuable contribution to both the academic research community and the electric mobility industry. This work reflects VerdOjah Technologies’ ongoing commitment to innovation in battery diagnostics, AI integration, and sustainable energy solutions.
Estimating State-of-Charge in Lithium-Ion Batteries Through Deep Learning Techniques: A Comparative Evaluation
Published at IEEE Access, 2024.
This study presents a comprehensive comparative evaluation of deep learning models for accurately estimating the State-of-Charge (SoC) in lithium-ion batteries. SoC estimation is critical for ensuring optimal battery performance, safety, and longevity in electric vehicles and energy storage systems. The paper examines multiple neural network architectures, assessing their accuracy, computational efficiency, and adaptability to varying operating conditions.
Through extensive testing on real-world datasets, the research highlights the advantages of deep learning over traditional estimation methods, offering improved precision and robustness. The findings pave the way for smarter Battery Management Systems (BMS) that can dynamically adapt to diverse applications. This work underlines VerdOjah Technologies’ expertise in AI-driven energy solutions and its mission to enhance the reliability of next-generation battery technologies.
Events
15th March 2025 – Training & Workshop
On 15th March 2025, VerdOjah Technologies successfully conducted a one-day intensive training and workshop titled “Basics of Electric Vehicles and their Components, Measurements, and Analysis with AI-based Applications”.
The program was designed to bridge the gap between theoretical knowledge and practical application in the rapidly evolving field of electric mobility. Participants gained hands-on experience with EV components, powertrain systems, and real-time measurement tools, while also exploring how artificial intelligence can be applied to analyze performance data and optimize system behavior.
The workshop brought together engineering students, researchers, and industry professionals, creating a collaborative environment for sharing ideas and discussing the latest trends in EV technology. Through interactive sessions, live demonstrations, and guided exercises, attendees developed a deeper understanding of electric vehicle design, testing, and data-driven performance improvement.
This event reflects VerdOjah’s ongoing commitment to empowering talent, fostering innovation, and advancing sustainable mobility solutions through training and knowledge-sharing initiatives.
Invited Talk
Delivered sessions at STTP on “Electric Mobility in Industry” at Mars Baselios College of Engineering and Technology, Kerala, 2025.
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