A Wide Component Sizing and Performance Assessment of Electric Drivetrains for Electric Vehicles

Akl, Mahmoud M.; Ahmed, Abdelsalam A.; Rashad, Essam M.

doi:10.1109/mepcon47431.2019.9008195

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…We have assumed that SMS is 0.95 kg for every 1 kg of primary mass saved in comparison to the actual motor of the case study EV [19]. The Nissan motor has a continuous power and torque of 110kW and 320N-m (peak power and torque are 150kW and 436 N-m), and a constant power speed range from 3283 rpm to 9795 rpm [18], [20], [21]. Given an initial 3 cm shaft radius and the other parameters as denoted by θ, the motor dimensions and volumes of the rotor and stator cores, the PMs, and slot liners are calculated and stored in the geometry vector G. Later, we will use an iterative process to converge to the final shaft radius.…”

Section: Ieee Open Access Journal Of Power and Energymentioning

confidence: 99%

“…S1d) profiles, the rated and maximum torque and power, the base and maximum speeds, and the power and torque versus speed characteristic curves (i.e., continuous and intermittent) (see Fig. 2a-b), as modeled by Akl and others [21]. Based on the required peak torque, the shaft radius is recalculated.…”

Section: Ieee Open Access Journal Of Power and Energymentioning

confidence: 99%

“…2019 Nissan Leaf S EV Specifications. A vehicle dynamics model was used to determine the traction force for the driving cycle [17], [21]. The model results can then be visualized with the torque versus speed diagram (as in Fig.…”

Section: Fig 2 Motor (A) Power Versus Speed Characteristic Curves And...mentioning

confidence: 99%

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Optimization-Based Design Model for Electric Traction Motors Considering the Supply Risk of Critical Materials

Pérez-Cardona

Sutherland

Sudhoff

2023

IEEE Open J. Power Energy

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Electric Vehicles (EVs) are considered among one of the 'clean' energy technologies in the transportation sector because the vehicles themselves do not generate combustion emissions. However, the substantial environmental footprint associated with the materials needed to create these technologies (extraction, manufacturing, and solid waste at end of life) calls into question their 'clean' label. In addition, their increasing demand adds to the existing supply risk (SR) through the requirement of critical materials. To address this, the purpose of this study is to establish a design model for electric traction motors, which are used in EVs, that will address the SR issues early in the design stage. The design model incorporates a genetic algorithm with the following objectives: minimum motor mass, minimum energy consumption, and minimum SR-equivalent. The SR-equivalent objective prioritizes the minimization of materials with high SR. Using the case study of a surfacemounted permanent magnet synchronous motor, results show how each objective is related to each other and to the parameters chosen as variables. Further analysis shows the benefits of minimizing for SR-equivalent of required materials. Future work is needed to improve the design model in terms of other important metrics such as minimizing environmental impact and cost.

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Section: Ieee Open Access Journal Of Power and Energymentioning

confidence: 99%

Section: Ieee Open Access Journal Of Power and Energymentioning

confidence: 99%

See 1 more Smart Citation

Optimization-Based Design Model for Electric Traction Motors Considering the Supply Risk of Critical Materials

Pérez-Cardona

Sutherland

Sudhoff

2023

IEEE Open J. Power Energy

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“…Outro conjunto de features é criado para utilizac ¸ão na estimativa de consumo, baseado no tipo de motorista e nos dados de contexto da viagem. Em [Akl et al 2019], as forc ¸as que atuam em um carro em movimento são descritas, conforme Figura 2. Desta forma, a forc ¸a necessária para propelir o carro em um dado momento é calculada pela Equac ¸ão 1, onde M v , g e α são a massa do veículo, a acelerac ¸ão gravitacional e a inclinac ¸ão da estrada, respectivamente.…”

Section: Identificac ¸ãO De Característicasunclassified

Utilizando o Modo de Dirigir do Motorista de Veículo Elétrico para o Planejamento e Roteirização de Viagem

dos-Reis,

Teixeira,

Marques-Neto

2023

Anais Do VII Workshop De Computação Urbana (CoUrb 2023)

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Com o aumento da adoção de veículos elétricos no mundo, começam a aparecer as limitações em sua utilização, tais como a baixa autonomia e a escassez de pontos de recarga. Este artigo apresenta uma arquitetura de software de uma aplicação capaz de prever a autonomia de carros elétricos e planejar a parada em postos de recarga ao longo de um trajeto de viagem. Além da descrição dos principais componentes da arquitetura, este trabalho também apresenta uma avaliação de métodos de regressão para o módulo de previsão de consumo do carro. Dados reais de um veículo elétrico foram coletados e utilizados para validar o conceito e a viabilidade da arquitetura, através da análise de modelos de aprendizado de máquina baseados em regressão linear múltipla. Ainda para validar a arquitetura, foi feita uma comparação entre uma viagem simulada e outra real.

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A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

Ahmed

Akl

Rashad

2021

Int Trans Electr Energ Syst

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This article compares two torque control methodologies, model predictive control (MPC), and field‐oriented control (FOC), for induction motor (IM) control over a wide speed range applied to an electric vehicle driving system (EVDS). The control technologies are designed and developed to control torque to achieve targeted traction according to vehicle specifications and the demands of the driver. For both control techniques, the specified electric vehicle (EV) is driven under and above base speed with stator flux control and field weakening control of the IM, respectively. In EVDS, the dynamic modeling of the power plants, that is, vehicle dynamics, Li‐ion battery, IM, and road forces, is considered. The dynamic behavior of the EVDS of a four‐passenger city EV is analyzed and evaluated with urban dynamometer driving schedule (UDDS) driving cycle. From simulations and performance appraisal, the comparison between FOC and MPC is investigated.

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A Wide Component Sizing and Performance Assessment of Electric Drivetrains for Electric Vehicles

Cited by 8 publications

References 6 publications

Optimization-Based Design Model for Electric Traction Motors Considering the Supply Risk of Critical Materials

Optimization-Based Design Model for Electric Traction Motors Considering the Supply Risk of Critical Materials

Utilizando o Modo de Dirigir do Motorista de Veículo Elétrico para o Planejamento e Roteirização de Viagem

A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

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