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J. Moreno, M. E. Ortuzar and J. W. Dixon, “Energy-Management System for a Hybrid Electric Vehicle, Using Ultracapacitors and Neural Networks,” IEEE Transactions on Industrial Electronics, Vol. 53, No. 2, 2006, pp. 614-623. doi:10.1109/TIE.2006.870880

has been cited by the following article:

• TITLE: Hybrid Vehicle (City Bus) Optimal Power Management for Fuel Economy Benchmarking

  AUTHORS: Boukehili Adel, Youtong Zhang, Chengqun Ni, Jutang Wei

  KEYWORDS: Hybrid Vehicle; Power Management; Fuel Economy; Optimization; Dynamic Programming

  JOURNAL NAME: Low Carbon Economy, Vol.4 No.1, March 27, 2013

  ABSTRACT: In this paper a global optimization method (dynamic programming) is used to find the optimal power management in hybrid electric city bus for the objective to reduce the fuel consumption. Knowing that when using a global optimization method the results cannot be used in real-time control; because we need to know the entire vehicle speed in advance to perform the optimization, but in spite of that this method is very useful to make a benchmark for hybrid electric city buses fuel economy and to judge the effectiveness and improve real-time control strategies. Finally results of optimal power management are shown and discussed.