Dr Chaitanya Patil


Naval Architecture, Ocean and Marine Engineering


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Professional Activities

11th European Combustion Meeting
8th International symposium of Ship Operations, Management and Economincs
Intelligent marine engine diagnosis and prognosis
Application of AI in engineering
European Automotive Engineering Conference

More professional activities


Incylinder pressure prediction using log-signatures
Patil, Chaitanya (Principal Investigator) Wu, Yue (Principal Investigator)
01-Jan-2022 - 30-Jan-2022
Intelligent marine engines health assessment system based on digital twins and data driven models
Patil, Chaitanya (Co-investigator)
The i-HEATS project aims to develop an intelligent condition monitoring and
diagnostics system for marine engines based on first-principles digital twins
and data-driven models. The project has direct application to ship and land
power plants, endeavouring to provide a game-change in the condition
monitoring/diagnostics of internal combustion engines. I4.0 technologies will be
employed leading to the development of intelligent tools, including digital twins,
deep learning, sensors fusion, and cloud computing. The project key objectives
1. Installation of a novel, custom made, data acquisition system for measuring the
instantaneous shaft torque, integrated with the existing monitoring systems to
acquire the required performance parameters.
2. Storage and analysis of acquired data locally and on cloud (edge/cloud
3. Development of thoroughly validated engine first-principles digital twins,
integrating thermodynamic models with crankshaft/shafting system dynamics
4. Development of data-driven models based on deep learning techniques,
complementing the digital twins to offer real-time predictive capabilities.
5. Use of the developed data-driven model to identify inaccuracies of critical
sensors of the measured parameters and rectify those as needed.
6. Development of intelligent algorithms to monitor engine condition and provide
diagnostics based on the measured instantaneous torque and other critical
7. Develop the prototype i-HEATS system by integrating the above tools with
appropriate hardware and user interfaces
8. Extensive testing and verification of the prototype i-HEATS system in lab and
full-scale conditions onboard two ships and improvement of its functionality
leading to a pre-commercial version.
01-Jan-2021 - 31-Jan-2023
Model Based Calibration for hybrid and electric vehicles using Data-driven models
Patil, Chaitanya (Co-investigator)
• Model based calibration (Matlab/Simulink) of GPF automate in conventional and ePower concept vehicles to verify yearly customer service regeneration for china and European market.
• Data based Machine Learning models (TWC, GPF, CVT) from scratch with NARX and RNN structures to reduce calibration time (by 60%) using tools like ASCMO (ETAS) and Python.
• Emission Platform development using ML in collaboration with HiLs team for significant reduction in cost and time in powertrain calibration.
• Performance Optimization through Dynamic DOE (Design of Experiment) method using ASCMO tool.
• Automation of various calibration tasks and data analysis using Python (open source platform) bypassing conventional software license requirements.
03-Jan-2020 - 30-Jan-2021
Optimization of EGR split index in diesel engine for passenger vehicles
Patil, Chaitanya (Principal Investigator)
Real-time EGR Split Optimization between High and low-pressure exhaust gas recirculation in GT Power simulations using different controllers to lower NOx emissions from a diesel turbocharged engine.
02-Jan-2018 - 02-Jan-2018
EGR transient operation in highly dynamic transient cycles
Patil, Chaitanya (Principal Investigator) Galindo, Jose (Principal Investigator) Climent, Hector (Principal Investigator)
01-Jan-2017 - 28-Jan-2019

More projects

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Dr Chaitanya Patil
Naval Architecture, Ocean and Marine Engineering

Email: chaitanya.patil@strath.ac.uk
Tel: 574 5359