Automotive Science and Engineering
Iran University of Science & Technology
Mon, Mar 10, 2025
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Volume 14, Issue 4 (12-2024)
ASE 2024, 14(4): 4517-4527 |
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Eivani B, moeinkhah H, farahat S. Comparison of an Efficient Optimal Energy Management Strategy with a Rule-based One in Hybrid Electric Vehicles. ASE 2024; 14 (4) :4517-4527
URL: http://www.iust.ac.ir/ijae/article-1-677-en.html
URL: http://www.iust.ac.ir/ijae/article-1-677-en.html
Abstract: (388 Views)
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.
Type of Study: Research |
Subject:
Modern Powertrain (hybrid, electric, CNG, bio, ...)
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