Research on dynamic trajectory optimization of hybrid engine

Dynamic working conditions run through the whole operational process of hybrid engines, which endow great significance to its optimization to obtain the optimal dynamic trajectory of hybrid engines to improve both the economy and emission performance. The motor, responding the torque demand of the vehicle rapidly, provides the possibility to control the engine working along a specific trace. Aiming at the dynamic trajectory optimization of hybrid engines, a dynamic process effect field has been built to analysis dynamic characteristics based on field coordination principle, which transform the dynamic process optimization to path optimization in a field space. Utilizing space trajectory optimization method, the path optimization problem is simplified further to a minimization problem of cumulative number of field effect in a field space and is solved by the steepest gradient method of discrete space, depending on which the optimal trajectories under different objective factors have been achieved. Simulation and experiments results show that the optimal trace algorithm can reach the established goal, which achieves the optimal control in dynamic process.