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An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning
المؤلفون المشاركون
Yin, Yanli
Ran, Yan
Zhang, Liufeng
Pan, Xiaoliang
Luo, Yong
المصدر
Journal of Control Science and Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
هندسة كهربائية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
For global optimal control strategy, it is not only necessary to know the driving cycle in advance but also difficult to implement online because of its large calculation volume.
As an artificial intelligent-based control strategy, reinforcement learning (RL) is applied to an energy management strategy of a super-mild hybrid electric vehicle.
According to time-speed datasets of sample driving cycles, a stochastic model of the driver’s power demand is developed.
Based on the Markov decision process theory, a mathematical model of an RL-based energy management strategy is established, which assumes the minimum cumulative return expectation as its optimization objective.
A policy iteration algorithm is adopted to obtain the optimum control policy that takes the vehicle speed, driver’s power demand, and state of charge (SOC) as the input and the engine power as the output.
Using a MATLAB/Simulink platform, CYC_WVUCITY simulation model is established.
The results show that, compared with dynamic programming, this method can not only adapt to random driving cycles and reduce fuel consumption of 2.4%, but also be implemented online because of its small calculation volume.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yin, Yanli& Ran, Yan& Zhang, Liufeng& Pan, Xiaoliang& Luo, Yong. 2019. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yin, Yanli…[et al.]. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yin, Yanli& Ran, Yan& Zhang, Liufeng& Pan, Xiaoliang& Luo, Yong. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1172609
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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