Modeling and experimental validation of vehicle's electric powertrain

Bianco, Ettore; Rizzello, Alessandro; Ferraris, Alessandro; Carello, Massimiliana

doi:10.1109/eeeic/icpseurope54979.2022.9854612

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…The leakage inductance has not been considered in the model, because an esteem of the L ls parameter would not be accurate in the first design stage. Therefore, the resultant model inputs are R s obtained by FEMM analysis, [L inc,abc ] obtained from Equation (6) in which λ d and λ q are the motor flux maps, Equations ( 7)- (9), and e abc (obtained through Equation ( 10)) and brought back to three phases with the inverse Park transform.…”

Section: Voltage Behind Reactance (Vbr) Motor Modelingmentioning

confidence: 99%

“…Motor control technology has witnessed significant advancements over the years, enabling higher precision, efficiency, and control over electric motors [3][4][5]. Among the various methods, Field-Oriented Control (FOC) using Current Vector Control (CVC) [6] has emerged as one of the most widely used methods for achieving the optimal performance in motor control systems. However, a more recent development known as FOC 4D torque control has emerged, promising even higher levels of motor control precision and efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Torque Control of Interior Permanent Magnet Motors for Electrical Hypercars

Bianco,

Rubino,

Carello

et al. 2024

WEVJ

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Nowadays, electric vehicles have gained significant attention as a promising solution to the environmental concerns associated with traditional combustion engine vehicles. With the increasing demand for high-performance hypercars, the need for advanced torque control strategies has become paramount. Field-Oriented Control using Current Vector Control represents a consolidated solution to implement torque control. However, this kind of control must take into account the DC link voltage variation and the variation of motor parameters depending on the magnets’ temperature while providing the maximum torque production for specific inverter current and voltage limitations. Multidimensional lookup tables are needed to provide a robust torque control from zero speed up to maximum speed under deep flux-weakening operation. Therefore, this article aims to explore the application of FOC 4D control in electrical hypercars and its impact on enhancing their overall performance and control stability. The article will delve into the principles underlying FOC 4D control and its advantages, challenges, and potential solutions to optimize the operation of electric hypercars. An electric powertrain model has been developed in the Simulink environment with the Simscape tool using a S-function block for the implementation of digital control in C-code. High-power electric motor electromagnetic parameters, derived from a Finite Element Method magnetic model, have been used in the simulation. The 4D LUTs have been computed from the motor flux maps and implemented in C-code in the S-function. The choice of FOC 4D control has been validated in the main load points of a hypercar application and compared to the conventional FOC. The final part of the research underlines the benefits of the FOC 4D on reliability, critical in motorsport applications.

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Section: Voltage Behind Reactance (Vbr) Motor Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advanced Torque Control of Interior Permanent Magnet Motors for Electrical Hypercars

Bianco,

Rubino,

Carello

et al. 2024

WEVJ

Self Cite

View full text Add to dashboard Cite

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“…Electric motors usually can endure temperatures as high as 140 °C in their coils, after which problems with electronic components or demagnetization of the PMs can occur and permanently damage the electric machine. The models aim to describe the EMs without an explicit implementation of the lowlevel control of the electric machines, which would entail an unfeasibly large computational burden [69]. To accomplish this goal, the electro-mechanical features of the EMs are defined through the application of the MTPA principle.…”

Section: Thermal Modellingmentioning

confidence: 99%

PerfECT Design Tool: Electric Vehicle Modelling and Experimental Validation

de Carvalho Pinheiro

2023

WEVJ

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This article addresses a common issue in the design of battery electric vehicles (BEVs) by introducing a comprehensive methodology for the modeling and simulation of BEVs, referred to as the “PerfECT Design Tool”. The primary objective of this study is to provide engineers and researchers with a robust and streamlined approach for the early stages of electric vehicle (EV) design, offering valuable insights into the performance, energy consumption, current flow, and thermal behavior of these advanced automotive systems. Recognizing the complex nature of contemporary EVs, the study highlights the need for efficient design tools that facilitate decision-making during the conceptual phases of development. The PerfECT Design Tool is presented as a multi-level framework, divided into four logically sequential modules: Performance, Energy, Currents, and Temperature. These modules are underpinned by sound theoretical foundations and are implemented using a combination of MATLAB/Simulink and the vehicle dynamics software VI-CRT. The research culminates in the validation of the model through a series of experimental maneuvers conducted with a Tesla Model 3, establishing its accuracy in representing the mechanical, electrical, and thermal behavior of BEVs. The study’s main findings underscore the viability of the design tool as an asset in the initial phases of BEV design. Beyond its primary application, the tool holds promise for broader utilization, including the development of active control systems, advanced driver assistance systems (ADAS), and solutions for autonomous driving within the domain of electric vehicles.

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