Comparative evaluation of vector control versus direct torque control for PM-SM drives

Birou, Iulian; Rusu, C.; Pavel, Sorin G.; Maier, Virgil

doi:10.1109/iseee.2017.8170670

Cited by 1 publication

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The electrical motor is a 144 V/5 kW interior PMSM with the associated driver based on PM Synchronous Motor Drive (AC6) block provided by Simulink . The motor drive features a closed‐loop speed control based on the vector control method . In this study, the maximum torque of the PMSM is 50 Nm, and the maximum motor speed of 3000 rpm.…”

Section: System Modelingmentioning

confidence: 99%

Modeling and energy management of a photovoltaic‐fuel cell‐battery hybrid electric vehicle

et al. 2019

View full text Add to dashboard Cite

Automobile power systems are increasingly in need of renewable and clean energy sources such as solar energy and fuel cells in the context of global warming. This article investigates the feasibility of a photovoltaic‐fuel cell‐battery hybrid electric vehicle (PVFCHEV) via a model‐based approach and delivers two major original contributions. First, a completed PVFCHEV system, which consists of the electric power system, the control system, and the vehicle powertrain system, is modeled in detail in Matlab/Simulink environment. Second, a fuzzy logic control based energy management strategy (EMS) is developed, aiming to maximize solar energy utilization under the fast‐changing power demand, the variance of solar energy, and different levels of battery state‐of‐charge. The simulation results of the functional test, including idling, accelerating, and cruising at different solar radiations and battery states, reveal that the designed vehicular power system and the EMS work reasonably well. Then, with the simulation of a particular driving cycle test in three typical scenarios (high, low, and zero solar radiances with different battery SOC), the power system proves to work effectively and adaptively in different situations under the regulation of the EMS and demonstrates better fuel economy than using a widely‐adopted power‐following control strategy.

show abstract

Section: System Modelingmentioning

confidence: 99%