Description



Table of Contents
1. Active-learning for fuel optimization 2. High throughput screening for fuel formulation 3. Engine optimization using computational fluid dynamics-Genetic algorithms (CFD-GA) 4. Engine optimization using computational fluid dynamics-design of experiments (CFD-DoE) 5. Engine optimization using machine learning-genetic algorithms (ML-GA) 6. Machine learning driven sequential optimization using dynamic exploration and exploitation 7. Optimization of after-treatment systems using machine learning 8. Engine cycle-to-cycle variation control 9. Prediction of low pressure preignition using machine learning 10. AI aided optimization of experimental engine calibration 11. AI aided optimization of vehicle control calibration

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

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    A Paperback by Jihad Badra, Pinaki Pal, Yuanjiang Pei

    15 in stock


      View other formats and editions of Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by Jihad Badra

      Publisher: Elsevier Science
      Publication Date: 1/28/2022 12:00:00 AM
      ISBN13: 9780323884570, 978-0323884570
      ISBN10: 0323884571
      Also in:
      Automotive technology and trades

      Description



      Table of Contents
      1. Active-learning for fuel optimization 2. High throughput screening for fuel formulation 3. Engine optimization using computational fluid dynamics-Genetic algorithms (CFD-GA) 4. Engine optimization using computational fluid dynamics-design of experiments (CFD-DoE) 5. Engine optimization using machine learning-genetic algorithms (ML-GA) 6. Machine learning driven sequential optimization using dynamic exploration and exploitation 7. Optimization of after-treatment systems using machine learning 8. Engine cycle-to-cycle variation control 9. Prediction of low pressure preignition using machine learning 10. AI aided optimization of experimental engine calibration 11. AI aided optimization of vehicle control calibration

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