Control strategy optimization of the hybrid electric bus based on remote self-learning driving cycles

In order to obtain the globally optimal solutions, Dynamic Programming ( DP ) technique have been investigated. But one major difficulty lies in the need of global /preview information about the trip to be made and the difficulty in obtaining the specific driving cycle for each trip. Another difficulty is the computational load for global optimization algorithms in the micro-processor inside the vehicle[18]. In this paper a new control scheme called control strategy optimization based on the remote self-learning driving cycles is presented.