Digital twins for internal combustion engines: A brief review


  • Viet Dung Tran PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
  • Prabhakar Sharma Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, India
  • Lan Huong Nguyen Institute of Mechanical Engineering, Vietnam Maritime University, Haiphong, Vietnam



The adoption of digital twin technology in the realm of internal combustion (IC) engines has been attracting a lot of interest. This review article offers a comprehensive summary of digital twin applications and effects in the IC engine arena. Digital twins, which are virtual counterparts of real-world engines, allow for real-time monitoring, diagnostics, and predictive modeling, resulting in improved design, development, and operating efficiency. This abstract digs into the creation of a full virtual depiction of IC engines using data-driven models, physics-based simulations, and IoT sensor data. The study looks at how digital twins can potentially be used throughout the engine's lifespan, including design validation, performance optimization, and condition-based maintenance. This paper emphasizes the critical role of digital twins in revolutionizing IC engine operations, resulting in enhanced reliability, decreased downtime, and enhanced emissions control through a methodical analysis of significant case studies and innovations. 


Digital twins, IC engine, Predictive maintenance, Sustainability, Reliability


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How to Cite

Tran, V. D., Sharma, P. ., & Nguyen, L. H. (2023). Digital twins for internal combustion engines: A brief review . Journal of Emerging Science and Engineering, 1(1), 29–35.