en سوخت های جایگزین Modern Powertrain (hybrid, electric, CNG, bio, ...) پژوهشي Research <span style="font-size:10pt"><span new="" roman="" style="font-family:" times=""><span lang="EN-US" style="color:#222222">This paper presents an efficient dynamic programming method in order to examine the problem of optimal power management of hybrid electric vehicle (HEV) powertrains and compares its performance with a rule-based method. Since dynamic programming is a trajectory based optimization algorithm and provides a globally optimal solution, it can be used as a benchmark for assessment of other control strategies. However, a major limitation of this method is its extreme computational load which is known as the curse of dimensionality. The computation time and the memory requirements increase exponentially with the increase of states and inputs. In this paper, a novel approach is used to decrease the total computation load and shows how this improvement can provide more accurate results</span><span lang="EN-US" style="color:black">.</span></span></span><br> &nbsp; dynamic programming, power split device, HEV ,optimal energy management 4517 4527 http://ase.iust.ac.ir/browse.php?a_code=A-10-804-2&slc_lang=en&sid=1 bentolhoda Eivani hoda.ivani@gmail.com 180031947532846004869 180031947532846004869 No Department of Mechanical Engineering, University of Sistan and Baluchestan,Zahedan hossein moeinkhah hmoein@gmail.com 180031947532846004870 180031947532846004870 Yes Department of Mechanical Engineering, University of Sistan and Baluchestan,Zahedan saeed farahat farahat@hamoon.usb.ac.ir 180031947532846004871 180031947532846004871 No Department of Mechanical Engineering, University of Sistan and Baluchestan,Zahedan