Computationally Efficient Model for On-Board Simulation of Heavy Duty Diesel Engines
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Beräkningseffektiv dieselmotormodell för simulering i inbyggda system (Swedish)
Simulating the translatory motion of a vehicle during a gear shift gives a good basis to evaluate performance and comfort of a gear shift. This evaluation can be used for gear shifting strategy in an automatic transmission. A model of a diesel engine and it's electronic control system is developed to capture the engines behaviour in a vehicle simulation environment. The modelled quantities are brake torque, fuel consumption and exhaust gas temperature and are based on engine speed and pedal position. In order to describe these outputs the inlet air flow and boost pressure are also modelled and used as inner variables. The model is intended to be implemented on board a vehicle in a control unit which has limited computational performance. To keep the model as computationally efficient as possible the model basically consists of look-up tables and polynomials. First order systems are used to describe the dynamics of air flow and exhaust temperature.
The outputs enables gear shift optimization over three variables, torque for vehicle acceleration, fuel consumption for efficiency and exhaust temperature to maintain high efficiency in the exhaust after treatment system.
The engine model captures the low frequent dynamics of the modelled quantities in the closed loop of the engine and it's electronic control system. The model only consists of three states, one for the pressure build up in the intake manifold and two states for modelling the exhaust temperature. The model is compared to measured data from a engine test cell and the mean absolute relative error are lower than 6.8%, 7.8% and 5.8% for brake torque, fuel consumption and exhaust gas temperature respectively. These results are considered good given the simplicity of the model.
Place, publisher, year, edition, pages
2012. , 42 p.
Real-time engine model, on-board, driveline prediction, AMT, gear selection
IdentifiersURN: urn:nbn:se:liu:diva-78980ISRN: LiTH-ISY-EX--12/4606--SEOAI: oai:DiVA.org:liu-78980DiVA: diva2:537478
Volvo Truck Technology
Subject / course
Sivertsson, Martin, Ph.D. Student
Eriksson, Lars, Associate Professor