Projects per year
Abstract
This paper firstly proposed a novel HEV sizing method using the Chaos-enhanced Accelerated Particle Swarm Optimization (CAPSO) algorithm and secondly provided a demonstration on sizing a series hybrid electric powertrain with investigations of chaotic mapping strategies to achieve the global optimization. In this paper, the intelligent sizing of a series hybrid electric powertrain is formulated as an integer multi-objective optimization issue by modelling the powertrain system. The intelligent sizing mechanism based on APSO is then introduced, and 4 types of the most effective chaotic mapping strategy are investigated to upgrade the standard APSO into CAPSO algorithms for intelligent sizing. The evaluation of the intelligent sizing systems based on standard APSO and CAPSOs are then performed. The Monte Carlo analysis and reputation evaluation indicate that the CAPSO outperforms the standard APSO for finding the real optimal sizing result with much higher reputation, and CAPSO with logistic mapping strategy is the most effective algorithm for HEV powertrain components intelligent sizing. In addition, this paper also performs the sensitivity analysis and Pareto analysis to help engineers customize the intelligent sizing system.
Original language | English |
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Pages (from-to) | 588-601 |
Number of pages | 14 |
Journal | Applied Energy |
Volume | 189 |
Early online date | 27 Dec 2016 |
DOIs | |
Publication status | Published - 1 Mar 2017 |
Keywords
- Accelerated particle swarm optimization
- Chaotic mapping strategy
- Hybrid electric powertrain
- Intelligent components sizing
- Multi-objective optimization
ASJC Scopus subject areas
- Civil and Structural Engineering
- General Energy
Fingerprint
Dive into the research topics of 'Intelligent sizing of a series hybrid electric power-train system based on Chaos-enhanced accelerated particle swarm optimization'. Together they form a unique fingerprint.Projects
- 1 Finished
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New Control Methodology for the Next Generation of Engine Management Systems
Engineering & Physical Science Research Council
25/03/13 → 24/09/16
Project: Research Councils
Prizes
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China Scholarship Council Research Excellence Awards
Zhou, Quan (Recipient), 2019
Prize: Prize (including medals and awards)
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Ratcliffe Prize for the best postgraduate research in the Sciences
Zhou, Quan (Recipient), 12 Dec 2019
Prize: Prize (including medals and awards)