MTPA and flux weakening control of electric motors: a numerical approach

Grano, Elia; Bianco, Ettore; Pinheiro, Henrique de Carvalho; Carello, Massimiliana

doi:10.1109/eeeic/icpseurope57605.2023.10194684

Cited by 5 publications

(3 citation statements)

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“…By solving the optimization problem and finding the combination of i d and i q that simultaneously outputs the desired torque and minimizes the total absorbed current, it is possible to reasonably estimate the outcomes of a properly designed low-level control without explicit modelling. Specifically, in the case of the presented model, the MTPA-based results are encapsulated into look-up tables calculated a priori, since the chosen approach depends on the fixed resistance, reluctance, and magnetization parameters (instead of varying maps) [70]. This proves to accelerate considerably the simulation process.…”

Section: Thermal Modellingmentioning

confidence: 99%

“…With the physical data and MTPA maps [70], the EM blocks are responsible for tra forming the torque requests into effective torque outputs and determining the curre and power necessary to do so. The main systems inside the block are:…”

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confidence: 99%

“…Inverter: converts the torque request into output Vd and Vq signals and motor stat after saturating the torque request with the maximum flux, available voltage, a With the physical data and MTPA maps [70], the EM blocks are responsible for transforming the torque requests into effective torque outputs and determining the currents and power necessary to do so. The main systems inside the block are:…”

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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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