Development of a Series Hybrid Electrified Powertrain for a High Speed Tracked Vehicle Based on Driving Cycle Simulation

Zhu, Qilun; Kumar, Asit; Sundar, Anirudh; Egan, Daniel; Mirzaei, Hamidreza; Chen, Da; Schmid, Matthias; Prucka, Robert; Lawler, Benjamin; Paredis, Chris

doi:10.4271/2022-01-0367

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…The vehicle is driven by a predefined US06 drive cycle. All the parameters of the HEV needed to find the propulsion power using Ansys Motor-CAD for the US06 drive cycle are used from study [36]. The battery's state of charge (SoC) is mathematically based on the amount of power it supplies to the vehicle as allocated by the EM.…”

Section: Electrical Model Of Hybrid Electric Vehiclementioning

confidence: 99%

“…It does not consider the system's dynamics for simplicity and reduced complexity while deploying it on MATLAB/Simulink or to a real-time simulator in Section VI. All vehicle parameters are considered from the study [36], which is then used to calculate the propulsion power for the US06 drive cycle using Ansys Motor-CAD. Fig.…”

Section: Numerical Simulations a System Descriptionmentioning

confidence: 99%

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A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

Timilsina,

Hoang,

Moghassemi

et al. 2023

IEEE Access

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The increasing popularity of electric vehicles is driven by their compatibility with sustainable energy goals. However, the decline in the performance of energy storage systems, such as batteries, due to their degradation puts electric vehicles and hybrid electric vehicles at a disadvantage compared to traditional internal combustion engine vehicles. This paper presents a prognostic-based control framework for hybrid electric vehicles to reduce the cost of operating hybrid electric vehicles by considering the degradation of energy storage systems. The strategy utilizes a degradation forecasting model of electrical components to predict their degradation pattern and uses the prediction to control hybrid electric vehicles via their energy management systems to reduce the degradation of components. A real-time controller hardware-in-the-loop is set up to run the proposed strategy. An hybrid electric vehicle model is developed on Typhoon (i.e., a real-time simulator), which is connected to two layers, energy management and degradation forecasting layer, deployed in Raspberry Pis, respectively. All these components are communicated through CAN

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Section: Electrical Model Of Hybrid Electric Vehiclementioning

confidence: 99%

Section: Numerical Simulations a System Descriptionmentioning

confidence: 99%

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

Timilsina,

Hoang,

Moghassemi

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The HEV model employed in this study is extensively discussed in previous work [14], while the vehicle parameters and dynamics details are outlined in [15]. The vehicle parameters are obtained from the study [15] to calculate the reference power demanded by the powertrain for two specific drive cycles, namely US06 and WLTP. This series hybrid electric vehicle model incorporates a 600 V DC bus, powered by an internal combustion engine (ICE) and a lithium-ion battery.…”

Section: Hybrid Electric Vehicle Architecturementioning

confidence: 99%

“…Since this study focuses on reconfiguring the objective function of EM through the proposed framework, an HEV model based on the power flow equation is developed in MATLAB/Simulink. All vehicle parameters are considered from the study [15], which is then used to calculate the propulsion power for the US06 and WLTP drive cycles using Ansys Motor-CAD.…”

Section: Numerical Simulations a System Descriptionmentioning

confidence: 99%