Modern diesel engines are controlled via maps, which have to be calibrated using measurements from an engine test bench. The maps have to fulfil various soft and hard constraints like smoothness and drivability. This thesis introduces in the state of the art of the map optimization at first. Following two criteria for smooth and driveable calibrated engine maps are defined mathematically. These criteria are verified and quantified with several concrete examples. Furthermore several non-linear optimization algorithms are presented. They are applied and evaluated in global map optimizations, in which optimization and smoothing are combined in one step, together with these criteria. Finally the optimization result is verified in an engine test bench measurement and in a vehicle test. The presented methodology can improve the map calibration, which has consisted of several iterations and has contained constraints that are difficult to describe, and can make it more systematically.
|Advisor:||Gühmann, Clemens, Rottengruber, Herrmann, Ihme-Schramm, Hanno|
|School:||Technische Universitaet Berlin (Germany)|
|Source:||DAI-C 81/1(E), Dissertation Abstracts International|
|Subjects:||Electrical engineering, Automotive engineering|
|Keywords:||Optimisation strategies, Model-based diesel engine development|
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