An Integrated Optimal Energy ManagementGear-Shifting Strategy for an Electric Continuously Variable Transmission Hybrid Powertrain Using Bacterial Foraging Algorithm
المؤلفون المشاركون
Chen, Syuan-Yi
Hung, Yi-Hsuan
Wu, Chien-Hsun
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-27
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
This study developed an integrated energy management/gear-shifting strategy by using a bacterial foraging algorithm (BFA) in an engine/motor hybrid powertrain with electric continuously variable transmission.
A control-oriented vehicle model was constructed on the Matlab/Simulink platform for further integration with developed control strategies.
A baseline control strategy with four modes was developed for comparison with the proposed BFA.
The BFA was used with five bacterial populations to search for the optimal gear ratio and power-split ratio for minimizing the cost: the equivalent fuel consumption.
Three main procedures were followed: chemotaxis, reproduction, and elimination-dispersal.
After the vehicle model was integrated with the vehicle control unit with the BFA, two driving patterns, the New European Driving Cycle and the Federal Test Procedure, were used to evaluate the energy consumption improvement and equivalent fuel consumption compared with the baseline.
The results show that [ 18.35 % , 21.77 % ] and [ 8.76 % , 13.81 % ] were improved for the optimal energy management and integrated optimization at the first and second driving cycles, respectively.
Real-time platform designs and vehicle integration for a dynamometer test will be investigated in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Syuan-Yi& Hung, Yi-Hsuan& Wu, Chien-Hsun. 2016. An Integrated Optimal Energy ManagementGear-Shifting Strategy for an Electric Continuously Variable Transmission Hybrid Powertrain Using Bacterial Foraging Algorithm. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1111730
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Syuan-Yi…[et al.]. An Integrated Optimal Energy ManagementGear-Shifting Strategy for an Electric Continuously Variable Transmission Hybrid Powertrain Using Bacterial Foraging Algorithm. Mathematical Problems in Engineering No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1111730
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Syuan-Yi& Hung, Yi-Hsuan& Wu, Chien-Hsun. An Integrated Optimal Energy ManagementGear-Shifting Strategy for an Electric Continuously Variable Transmission Hybrid Powertrain Using Bacterial Foraging Algorithm. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1111730
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111730
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر