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State of Charge Estimation Based on Microscopic Driving Parameters for Electric Vehicle's Battery
المؤلفون المشاركون
Song, Yuan-yuan
Wang, Meiying
Yang, Yang
Yao, En-jian
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-12-11
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Recently, battery-powered electric vehicle (EV) has received wide attention due to less pollution during use, low noise, and high energy efficiency and is highly expected to improve urban air quality and then mitigate energy and environmental pressure.
However, the widespread use of EV is still hindered by limited battery capacity and relatively short cruising range.
This paper aims to propose a state of charge (SOC) estimation method for EV’s battery necessary for route planning and dynamic route guidance, which can help EV drivers to search for the optimal energy-efficient routes and to reduce the risk of running out of electricity before arriving at the destination or charging station.
Firstly, by analyzing the variation characteristics of power consumption rate with initial SOC and microscopic driving parameters (instantaneous speed and acceleration), a set of energy consumption rate models are established according to different operation modes.
Then, the SOC estimation model is proposed based on the presented EV power consumption model.
Finally, by comparing the estimated SOC with the measured SOC, the proposed SOC estimation method is proved to be highly accurate and effective, which can be well used in EV route planning and navigation systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yao, En-jian& Wang, Meiying& Song, Yuan-yuan& Yang, Yang. 2013. State of Charge Estimation Based on Microscopic Driving Parameters for Electric Vehicle's Battery. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032478
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yao, En-jian…[et al.]. State of Charge Estimation Based on Microscopic Driving Parameters for Electric Vehicle's Battery. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1032478
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yao, En-jian& Wang, Meiying& Song, Yuan-yuan& Yang, Yang. State of Charge Estimation Based on Microscopic Driving Parameters for Electric Vehicle's Battery. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032478
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1032478
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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