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Lee WC, Tsang KF, Chi HR, Hung FH, Wu CK, Chui KT, Lau WH, Leung YW. A high fuel consumption efficiency management scheme for PHEVs using an adaptive genetic algorithm. SENSORS 2015; 15:1245-51. [PMID: 25587974 PMCID: PMC4327074 DOI: 10.3390/s150101245] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 01/07/2015] [Indexed: 11/16/2022]
Abstract
A high fuel efficiency management scheme for plug-in hybrid electric vehicles (PHEVs) has been developed. In order to achieve fuel consumption reduction, an adaptive genetic algorithm scheme has been designed to adaptively manage the energy resource usage. The objective function of the genetic algorithm is implemented by designing a fuzzy logic controller which closely monitors and resembles the driving conditions and environment of PHEVs, thus trading off between petrol versus electricity for optimal driving efficiency. Comparison between calculated results and publicized data shows that the achieved efficiency of the fuzzified genetic algorithm is better by 10% than existing schemes. The developed scheme, if fully adopted, would help reduce over 600 tons of CO2 emissions worldwide every day.
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Affiliation(s)
- Wah Ching Lee
- Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
| | - Kim Fung Tsang
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Hao Ran Chi
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Faan Hei Hung
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Chung Kit Wu
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Kwok Tai Chui
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Wing Hong Lau
- Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
| | - Yat Wah Leung
- Department of Systems Engineering and Engineering Management, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
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