Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear

Huanxin Pei, Xiaosong Hu, Yalian Yang, Xiaolin Tang, Cong Hou and Dongpu Cao

Applied Energy, 2018, vol. 214, issue C, 103-116

Abstract: In order to significantly reduce vehicular fuel consumption and emission pollutants, power-split hybrid electric vehicles are increasingly deployed to ensure that internal combustion engines work at their high-efficiency regions. Because of multiple power components (internal combustion engine, two electric machines, and a driveshaft to the wheels), configurations of such vehicular powertrains are typically very complicated. In order to systematically analyze and design a fuel-optimal powertrain, an innovative hierarchical topological graph approach is proposed. This method comprises four major design processes: (1) modeling of hybrid vehicle powertrain systems, (2) generation of a configuration pool, (3) identification of isomorphism, and (4) classification of configuration modes. Potential power-split hybrid vehicle designs are rigorously examined via a dynamic programming algorithm to estimate their acceleration performance (0–100 km/h) and fuel economy in various driving cycles.

Keywords: Hybrid powertrain; Electrified vehicle; Hierarchical topological graph; Isomorphism identification; Mode classification; Dynamic programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:214:y:2018:i:c:p:103-116

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DOI: 10.1016/j.apenergy.2018.01.070

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