Predictive equivalent consumption minimization strategy for power-split hybrid electric vehicles using Monte Carlo algorithm
نویسندگان
چکیده
Bu çalışma, güç paylaşımlı bir hibrit elektrikli araç (HEA) için, Monte Carlo (MC) algoritmasına dayalı olarak tahmin edilen sürüş çevrimi hızlarını kullanan öngörülü eşdeğer tüketim minimizasyonu stratejisi (Ö-ETMS) önermektedir. Önerilen Ö-ETMS, enerji kaynakları arasındaki dağılımını en iyi şekilde belirlemek için MC algoritması tarafından hız profillerinden tam yararlanmaktadır. çalışmada; tabanlı Ö-ETMS metodunu doğrulamak New European Driving Cycle (NEDC), Worldwide Harmonised Light Vehicles Test Procedure (WLTP), Urban Dynamometer Schedule (UDDS), Highway Fuel Economy (HWFET), York City (NYCC), California Unified (LA-92) ve tüm döngülerin kombinasyonu (ALL-CYC) çevrimleri kullanılmış; toplam yedi tekrarlı döngüsü altında dizi simülasyon çalışması gerçekleştirilmiştir. stratejisi, standart ETMS ile karşılaştırılmıştır. NEDC çevriminde %6,01, WLTP %9,09, UDDS %6,33, HWFET %5,14, NYCC %1,96, LA-92 %11,47 ALL-CYC %7,92 oranla yakıt tasarrufu elde edilmiştir. makaledeki sonuçlar, önerilen stratejinin yaygın kullanılan temel yönteme kıyasla, rekabetçi sağladığını ortaya koymaktadır.
منابع مشابه
Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles
This paper proposes a new method for solving the energy management problem for hybrid electric vehicles (HEVs) based on the equivalent consumption minimization strategy (ECMS). After discussing the main features of ECMS, an adaptation law of the equivalence factor used by ECMS is presented, which, using feedback of state of charge, ensures optimality of the strategy proposed. The performance of...
متن کاملModification of Equivalent Consumption Minimization Strategy for a Hybrid Electric Vehicle
Equivalent consumption minimization strategy (ECMS) is one of the main real-time control strategies for hybrid electric vehicles (HEVs). This paper proposes a method to modify this strategy. This modification reduces calculation time of ECMS and therefore, facilitates its application as the real-time controller. Dynamic programming (DP) method is employed to reach this aim. This method is appli...
متن کاملMap-Based Power-Split Strategy Design with Predictive Performance Optimization for Parallel Hybrid Electric Vehicles
In this paper, a map-based optimal energy management strategy is proposed to improve the consumption economy of a plug-in parallel hybrid electric vehicle. In the design of the maps, which provide both the torque split between engine and motor and the gear shift, not only the current vehicle speed and power demand, but also the optimality based on the predicted trajectory of vehicle dynamics ar...
متن کاملRule-Based Equivalent Fuel Consumption Minimization Strategies for Hybrid Vehicles
The highest control layer of a (hybrid) vehicular drive train is termed the Energy Management Strategy (EMS). In this paper an overview of different control methods is given and a new rule-based EMS is introduced based on the combination of Rule-Based and Equivalent Consumption Minimization Strategies (RB-ECMS). The RB-ECMS uses only one main design parameter and requires no tuning of many thre...
متن کاملEngine optimal operation lines for power-split hybrid electric vehicles
The powertrain of a hybrid electric vehicle (HEV) can be operated in either a powerboosting or an energy-saving mode. The first mode is used for responding to the driver’s fullload demand and the second for achieving high fuel efficiency given an increased number of degrees of freedom in energy management. Optimization problems for the two operation modes are formulated, and the design spaces a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of The Faculty of Engineering and Architecture of Gazi University
سال: 2023
ISSN: ['1300-1884']
DOI: https://doi.org/10.17341/gazimmfd.1040940