| File Name: | Advanced HCCI Engine Systems |
| Content Source: | https://www.udemy.com/course/advanced-hcci-engine-systems |
| Genre / Category: | Other Tutorials |
| File Size : | 594.7 MB |
| Publisher: | Aditya Bharat Patil |
| Updated and Published: | August 9, 2025 |
Unlock the science, simulation, and system-level control behind Homogeneous Charge Compression Ignition (HCCI), the most advanced clean combustion strategy for next-generation internal combustion engines.
Taught at the level of a postgraduate course, this program is tailored for professional mechanical engineers, automotive researchers, and graduate students who want to master HCCI from the ground up. from combustion fundamentals to hybrid powertrain integration and beyond.
Through six in-depth modules, you’ll explore:
- The physics of autoignition, heat release dynamics, and pressure rise rate (PRR)
- Detailed chemical kinetics modelling using tools like CHEMKIN, Cantera, and ignition delay predictors
- Building 1D engine models using GT-Power, Wiebe functions, and zone-based simulation techniques
- Designing real-time combustion phasing controls: CA50 tracking, valve timing, and EGR actuation
- Leveraging machine learning and Kalman filters for ignition prediction and virtual sensing
- Integrating HCCI with hybrid architectures, multi-mode combustion, and supervisory controls
- Implementing digital twins for ECU testing, fault injection, and predictive maintenance
Each module features expert narration, real-world case studies, and simulation workflows based on industry tools. From Mazda’s CAI engines to Cummins’ RCCI dual-fuel strategies, you’ll gain the applied skills to design and validate HCCI systems that push the boundaries of clean combustion.
Whether you specialize in powertrain R&D, control systems, or simulation, this course will equip you to engineer the future of intelligent, low-emission engines.
Who this course is for:
- Mechanical engineers in automotive, engine calibration, or powertrain simulation
- Graduate students and researchers in combustion, thermofluids, or control systems
- R&D professionals working on hybrid engines, LTC strategies, or fuel optimization
- Engineers transitioning into advanced ICE design, digital twins, or AI-powered control systems
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