Optimization algorithm for diesel engine operating parameters based on a vehicle driving test cycle

For compliance with stringent exhaust emissions regulations, diesel engines have been equipped with electronically controlled components. Hence, there are various engine operating parameters that must be optimized, however optimization of these parameters is complicated. The objective of this research is to provide a new optimization algorithm for the diesel engine operating parameters with consideration of the vehicle control strategy. To optimize engine operating parameters, the concept of the vehicle-based optimization has been introduced. The engine response functions for performance and emissions were determined using the design of experiments, the response surface method and regression method with various engine operating parameters. Then, the engine operating points of the vehicle during the test cycles were analyzed, and the fuel consumption and emissions were estimated. Consequently, the engine operating parameters at each operating point were optimized to reduce the fuel consumption and the emissions such as NOx and PM by using the gradient method. Moreover, a new optimization algorithm enables to optimize engine operating parameters in various test cycle without additional engine experiment.