Introduction to Engine Management: Practical Approach by Modeling & Simulation

MOT/CMCS-E

Who should attend?

  • This course provides a deeper knowledge on the strategies used to manage the engine operation in order to improve performances.
Audience :
  • Engineers and technical staff from design and testing departments wishing to discover the engine management in a practical way and desiring a comprehensive and practical understanding of engine control.

Level : Advanced

Course Content

  • Engine management introduction & discovery by practice

      • Stakes, definitions, architectures, sensors, actuators, ECU, control strategies.
      • Automatisms: PID regulators (principle, tuning, gasoline idle speed and Diesel EGR control), new tuning methods and prospects.
      • Diesel and gasoline engines physics applied to the management problem, by the following parameters: air, fuel, torque, speed, depollution.
      • Control law “hands design”. All introductory concepts are reworked with the example of a spark ignition engine: design and implementation of a torque structure, design and implementation of an idle speed control strategy.
  • Spark ignition engine torque & emissions control

      • Interpreting of the driver's intentions and taking external requirements into account.
      • Taking driving pleasure into account, idle speed.
      • How to meet the set torque.
      • Air management: translating the instruction into an air quantity and in throttle driving, airflow measurements with the pressure/velocity strategy, exhaust gas recirculation EGR.
      • Fuel management: fuel supply, starting, evaporative emission system (canister).
      • Managing the injection pressure and the injected quantity, injector driving, injection modes.
      • Timing management: torque variations driving by the ignition/knocking advance (ignition computing sequence).
      • Operation of pollutant strategies to control engine out and after-treatment.
  • Diesel engine torque & emissions control

      • How to meet the set torque. Diesel torque structure. Torque control by injection control.
      • Air management: translating the torque instruction into an air quantity, supercharching control.
      • Fuel management: fuel supply, starting, managing the injection pressure and the injected quantity, injector driving, injection modes, control of the injection patterns. Injections corrections strategies.
      • Operation of pollutant strategies to control engine out and after-treatment. Pollutants and air diesel chain: controlling the amount of air, amount of fresh air and EGR rate.
      • After-treatment control systems: oxidation catalyst, DPF, SCR and NOx trap.
  • Engine cross control

      • Engine synchronization: crankshaft and cam timing. Strategies, operating technologies and components.
      • Powertrain supervision: Interpreting the driver will, choice of the powertrain operating point, intersystem arbitration.
      • OBD: issue of OBD in a Euro 6 context: impact on the architecture of motor control. Globalized approach to diagnosis.
      • Intersystem: functional issues of CAN, VAN, digital links sensors-ECU intersystem networks.

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • determine and to carry out SI and Diesel engines set torque, by air, timing and fuel management,
  • know depollution and OBD strategies necessary to meet the standards,
  • understand the relationship between engine physics and control,
  • know engine control basics,
  • understand the relationship between EMS design and customer requirements,
  • understand engine management system process development,
  • identify the components necessary to control the engine and its requirements as well as to describe their operation,
  • design and develop engine control strategies,
  • validate and calibrate engine control strategies.

Ways & Means

  • This training provides an overview of engine management systems. It is based on concrete examples and a pragmatic approach by modeling and simulation. A control project underlies learning. Students are active throughout the training: they develop, realize, test and validate themselves the control software they have developed.
  • The steps in this active learning are:
  • Design, build and calibration of control strategies in Matlab-Simulink.
  • Engine model development for torque structure design with Matlab-Simulink.
  • Strategies validation with an engine model (MIL) with Matlab-Simulink.