A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm

Sensors

Wah Ching Lee²  Kim Fung Tsang¹  Hao Ran Chi¹  Faan Hei Hung¹  Chung Kit Wu¹  Kwok Tai Chui¹  Wing Hong Lau¹ 

[1] Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China; E-Mails:;Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China; E-Mail:

关键词: PHEV;    adaptive genetic algorithm;    fuel efficiency management;   

DOI  :  10.3390/s150101245

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.