Electric Vehicle Motor Research Articles

Application of Tilt Integral Derivative for Efficient Speed Control and Operation of BLDC Motor Drive for Electric Vehicles

This study presents the tilt integral derivative (TID) controller technique for controlling the speed of BLDC motors in order to improve the real-time control of brushless direct current motors in electric vehicles. The TID controller is applied to the considered model to enhance its performance, e.g., torque and speed. This control system manages the torque output, speed, and position of the motor to ensure precise and efficient operation in EV applications. Brushless direct current motors are becoming more and more popular due to their excellent torque, power factor, efficiency, and controllability. The differences between PID, TID, and PI controllers are compared. The outcomes demonstrated that the TID control enhanced the torque and current stability in addition to the BLDC system’s capacity to regulate speed. TID controllers provide better input power for BLDC (brushless DC) drives than PI and PID controllers do. Better transient responsiveness and robustness to disturbances are features of TID controller design, which can lead to more effective use of input power. TID controllers are an advantageous choice for BLDC drive applications because of their increased performance, which can result in increased system responsiveness and overall efficiency. In an experimental lab, a BLDC motor drive prototype is implemented in this study. To fully enhance the power electronic subsystem and the brushless DC motor’s real-time performance, a test bench was also built.

A nonlinear model predictive control for air suspension in hub motor electric vehicle

The hub-motor electric vehicle (HM-EV) is considered as an ideal configuration for electric vehicles (EVs). However, the electromechanical coupling effect deteriorates HM-EV ride comfort, which limits its widespread application in EVs. In this study, the HM-EV dynamic system with air springs is proposed to intervene in vehicle attitude and ride comfort. The HM-EV dynamic model with air spring, considering the electromechanical coupling effect, is established and the test validation is investigated. Then quasi-infinite horizon nonlinear model predictive control (QIH NMPC) is designed to improve the longitudinal and vertical dynamic performance. The dynamic performance of passive suspension, air suspension based on QIH NMPC, air suspension based on MPC, and PID control receptively, are compared under several random road scenarios. Finally, the results indicated that the proposed control algorithm can improve ride comfort, reduce motor vibration, and improve longitudinal and vertical dynamic performance.

Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict

Rare earth elements play a crucial role in supporting low-carbon energy generation technologies, such as electric motors in electric vehicles and the production of wind turbines. Additionally, these elements are utilized in a wide range of products manufactured by tech companies, including smartphones, aerospace components, and microelectronics. This paper aims to investigate the interplay between rare earth element prices (REMX), clean energy innovations (NEX), and the market of tech companies (PSE) from February 2018 to February 2023. To analyze the interdependencies between these markets, the study employs the cross-quantilogram (CQ) and wavelet local multiple correlation (WLMC) techniques. The findings of the investigation reveal a positive correlation between rare earth elements and the clean energy market, but only when both markets are in their respective extreme quantiles (10th and 90th). However, when the clean energy market is in a lower quantile and REMX is in a higher one for an extended period, there is either no significant interdependence or a negative relationship. Furthermore, the study identifies a positive co-movement between PSE and REMX in the short, intermediate, and extremely long-term. However, this relationship turns negative in the long run. The values of the coefficients fluctuate over time, particularly at larger scale periods of 8–16 when using the WLMC procedure. These findings have notable implications for stakeholders, including investors, managers, and policymakers, who are linked to the field of mineral resources and industries reliant on rare earth element-based technologies.

SSO-DRSS Axial Flux sensing in Switching Permanent Magnet Motor for cogging torque mitigation

This paper addresses the imperative requirements of high efficiency, power density, and speed in Axial Flux-Switching Permanent Magnet Motors (AxFSPM) for electric vehicles. Recognizing the limitations of conventional motor designs, especially their weight and size, hindering their universal applicability, this study proposes a novel approach. A Double Rotor Single Stator (DRSS) configuration is introduced, and its parameters are systematically optimized using the Shark Smell Optimization (SSO) algorithm. The SSO algorithm refines critical motor parameters, including axial length, turns per phase, and stator and rotor dimensions, resulting in a more compact AxFSPM motor with enhanced torque. Geometrical constraints are similarly optimized with SSO, and magnet skewing angles are employed for cogging torque reduction. The optimization process, implemented in MATLAB and ANSYS Maxwell, yields an average torque below 1.4 N m and cogging torque below 0.8 N m, demonstrating the effectiveness of the proposed approach. Comparative analyses against various motor models underscore the superiority of the SSO-optimized DRSS motor in terms of efficiency and compactness.

Gear error control and response of electric vehicle transmission gearing based on gear trimming

The lightweight development of electric vehicle motors is a prominent future trend, with the challenge of transmission vibration and noise acting as a key bottleneck that limits the enhancement of power and speed in electric vehicle drive systems. The noise generated by electric vehicle transmissions is primarily associated with the transmission system and gear structure. In line with this, the present study proposes an analysis of transmission error and response mechanisms through gear modifications. The research delves into the analysis of gear deformation and error generation characteristics. It further investigates methods for parametric equation modeling, tooth profile modification, deformation imprint analysis, and vibration response modeling to examine excitation response analysis and noise reduction techniques pertaining to transmission errors. The findings demonstrate that, under 40 % torque, the shaped gear exhibited a maximum reduction in transmission error of 34.2 %, resulting in an overall error improvement of over 5.7 %. Moreover, the maximum error difference after tooth profile and tooth direction shaping exceeded 2 %. The gear-shaping-based electric vehicle transmission showcased favorable economic and technical performance, while its excitation response mechanism provided valuable guidance for mass production. Overall, these results highlight the significance of analyzing transmission errors through gear modifications in achieving lightweight electric vehicle motors. By addressing transmission vibration and noise issues, this research contributes to overcoming limitations and promoting advancements in power and speed within electric vehicle drive systems.

Heat transfer comparison investigation of the permanent magnet synchronous motor for electric vehicles based on the BEM and the FEM

In the field of heat transfer in permanent magnet synchronous motors (PMSM) for electric vehicles, the boundary element method (BEM) has been applied for the first time to calculate the steady-state temperature of the PMSM with a spiral water-cooled system. In this investigation, the boundary-integration equation for the steady-state heat transfer problem of a water-cooled PMSM is first derived on the basis of thermodynamic theory, and the system of constant coefficient differential equations is obtained by discretizing its boundaries, while the temperature results obtained from the BEM are compared with the finite element method (FEM) results. Furthermore, the temperature distribution and heat transfer characteristics obtained from the FEM and BEM were verified twice using the PMSM prototype and test platform. The results show that the maximum relative error between the temperature calculation results of FEM and BEM is 1.97%, and the maximum relative error between the results of BEM and the test does not exceed 3%, which finally verifies the validity and accuracy of BEM in solving the heat transfer problems of water-cooled PMSM.

Direct Torque Control-Based Backstepping Speed Controller of Doubly Fed Induction Motors in Electric Vehicles: Experimental Validation

Direct Torque Control-Based Backstepping Speed Controller of Doubly Fed Induction Motors in Electric Vehicles: Experimental Validation

Circular economy strategies for permanent magnet motors in electric vehicles: Application of SWOT

The transition towards a circular economy (CE) has become crucial across industries, including the electric vehicle (EV) sector. With the rising demand for EVs and sustainable transportation, automotive manufacturers are challenged to establish CE practices for EVs, specifically concerning permanent magnet (PM) motors. This study identified and examined circular scenarios within the PM motor industry to address this challenge and provided planning strategies for PM motor recycling. The study adopted a two-stage research design, including exploration and evaluation phases and a SWOT analysis. The exploration phase contained two workshops to conceptualize the circular scenarios and explore different factors for SWOT analysis. In the evaluation phase, the weight and importance of each SWOT factor were defined using an expert-based ranking method. Among the key contributions, the study identified circular scenarios involving repurposing, reusing, and recycling within the EV sector. Secondly, the study discovered a wide range of internal and external factors influencing the successful recycling of PM motors. Thirdly, the study evaluated the recycling of PM motors by analyzing experts’ perceptions towards this scenario. Based on the findings, the study develops strategic strategies to help automotive companies transition to CE.

AC Loss Calculation of Integral Transposed Winding in PM Motor for Electric Vehicles

AC Loss Calculation of Integral Transposed Winding in PM Motor for Electric Vehicles

MULTIDIMENSIONAL INVESTIGATION OF THERMAL BEHAVIOR OF HIGH-POWER ELECTRIC VEHICLE MOTOR DURING ON-ROAD DRIVING CONDITIONS THROUGH ELECTROMAGNETIC, THERMAL, AND DRIVE CYCLE ANALYSIS

This study addresses the critical need to understand the thermal behavior of electric motors in real-world driving conditions, which is crucial for the global transition to electric vehicles (EVs) and for achieving sustainable energy goals. The real-world driving conditions include acceleration and deceleration, resulting in speed variations, and existing research often limits its scope to constant speed conditions, potentially providing misleading results. As existing research predominantly confines itself to constant speed conditions, our study fills this gap by investigating temperature variations during on-road driving scenarios, utilizing the SAE J227 drive cycle as a benchmark. Based on recent studies, we consider the design parameters of an appropriate EV motor and subject the developed model to thermal and fluid flow analyses. The impact of confinement on motor temperature rise is also explored for potential temperature reduction, contributing up to 4 percent temperature reduction. The drive cycle-based study indicated that running the motor at a constant speed yields a considerably lower temperature rise (<i>ΔT</i> < 74°C) than actual driving conditions. In contrast, temperatures in actual driving scenarios could exceed 136°C within similar durations. This study looks into the actual heating challenges faced by electric motors used in EVs by integrating analyses from electrical, thermal, and transportation engineering.

Electromagnetic design, sensitivity analysis, optimization and Multiphysics capability of rare-earth-free synchronous reluctance motor for electric trike vehicle

<p>As a part of last-mile transportation, electric three-wheelers, popularly known as trikes, are considered as an important aspect of the future of the auto industry. The appropriate choice of electric traction motor drive is imperative to the design of an electric motor power train. In this paper, six main types of sinusoidal-fed electric motor power trains—Ferrite-Assisted Synchronous Reluctance Motor (FASRM), Synchronous Reluctance Motor (SyncRelM), Ferrite-based Spoke motor, Ferrite-based Surface-Mounted Permanent Magnet Synchronous Motor (SMPMSM), Wound-Field Synchronous Motor (WFSM), and Induction Motor (IM)—are compared for their performance in electric trike applications. The permanent magnet machines presented here utilize ferrite magnets, in line with the recent trend of not using rare-earth magnets. The comprehensive comparative analysis establishes that SyncRelM, FASRM, and Spoke motors are superior in terms of overall electromagnetic, thermal, and vibration performance. This paper also focuses on an optimal design of the FASRM due to its high torque density, lower torque ripple, and minimal use of ferrite magnets. A Design of Experiments (DoE)-based statistical analysis tool is used to identify the key parameters needed for robust motor performance in the optimization step. Furthermore, an Extreme Learning Machine (ELM)-based interpolation technique is employed for estimating the performance parameters during each step of the optimization routine. A 1.2 kW FASR motor prototype is developed and tested. A comparison of Finite-Element-Analysis-based modeling results is presented along with Indian drive-cycle results for the FASRM for trike application.</p>

Simulation Study on Hydraulic Braking Control of Engine Motor of Hybrid Electric Vehicle

Abstract Taking the hybrid electric vehicle as the research object, under the premise of ensuring braking safety, aiming at maximizing the use of motor regenerative braking force and improving the coordination performance of motor hydraulic braking, a simulation study of motor hydraulic braking control based on hybrid electric vehicle engine is proposed. According to the dynamic model and ideal braking force distribution curve of the hybrid electric vehicle, combined with the common idea of electro-hydraulic compound braking force distribution, a three-layer braking control structure of the hybrid electric vehicle is constructed. The management determines the braking intention through the driver's pedal action and calculates the expected torque, and the control layer obtains the target braking force distribution relationship through the logic gate limit control method based on the expected torque. According to the actual motor torque signal fed back by the executive layer and the wheel cylinder pressure signal of the hydraulic braking system, the braking force and regenerative braking force of the hydraulic system are dynamically coordinated and controlled to ensure that the state switching of each component can be rapid, stable, and timely, and the control instruction is transmitted to the motor hydraulic braking system of the executive layer through the vehicle controller to complete the motor hydraulic braking of the hybrid electric vehicle engine. The experimental results show that this method can realize the reasonable distribution of motor hydraulic braking under different braking intensities, different initial braking speeds, and different pedal dip amplitudes, which makes the reaction speed of the hybrid electric vehicle in the braking process faster, the braking switching more stable and safe, effectively improves the energy utilization rate of the hybrid electric vehicle, and ensures the economy and safety of braking control of the hybrid electric vehicle.

Excitation Control of Brushless Induction Excited Synchronous Motor with Induction Machine Operating in Deep-Plugging Mode

Abstract The popularity of electrified transportation is rising at a sharp pace due to environmental concerns over internal combustion (IC) engines. Researchers are nowadays looking for a brushless and permanent magnet (PM)-less solution for electric vehicle (EV) motors. Wound-field synchronous motor (WFSM) is a potential solution for EVs and is being used in Renault Zoe EV and BMW iX3 e-Drive models. A Brushless Induction excited Synchronous Motor (BINSYM) is a WFSM where the exciter, an induction machine (IM), is embedded inside the synchronous machine (SM) frame. Two machines (SM and IM) are configured for different numbers of poles to achieve magnetic decoupling, which facilitates independent control of both machines. The purpose of IM is to maintain the excitation requirement of SM. The IM is controlled in deep-plugging mode at a constant slip frequency over the entire speed range to minimise its reactive power demand. The maximum torque per ampere (MTPA) and root mean square (rms) current minimisation algorithms are used to control the SM. Simulation of the BINSYM-based system under dynamic conditions (MTPA with varying field current and load transient) has been carried out in MATLAB/Simulink to validate the control strategies. Experimental findings from the laboratory prototype machine closely match the simulation results.

Modal research of permanent magnet synchronous motor for electric vehicles

Modal research of permanent magnet synchronous motor for electric vehicles

A Novel Scenario Analysis Framework for the Life Cycle Assessment of Permanent Magnet Synchronous Motors for Electric Vehicles

A Novel Scenario Analysis Framework for the Life Cycle Assessment of Permanent Magnet Synchronous Motors for Electric Vehicles

Study on AC Loss Suppression in Rectangular Winding Motors for Electric Vehicles

Study on AC Loss Suppression in Rectangular Winding Motors for Electric Vehicles

Vibro-Inertance Matrix Supported OCF Characteristics Analysis of PMSM Under Multiple Operating Conditions for EV

Vibration analysis of converter-fed motor for electric powertrain is a much-needed technology for electric vehicle industry, which plays an important role in the noise, vibration, harshness (NVH) optimization design, fatigue monitor, fault diagnosis, and life prediction. The characteristics of the internal operating condition force (OCF) for the propulsion motor of electric vehicles under multiple operating conditions (MOC) were investigated by using the proposed vibro-inertance matrix theory (VIMT) in this paper. The complete analytical expansion of vibro-inertance matrix ofthe statorcomponentwas firstly derived, and a mathematical analytical testing model of OCF was established. The OCF of the 21kW prototype was measured under MOC, and the spectra of the mechanical and electromagnetic OCF of the prototype were fully secured via Brüel & Kjær 4520 3D acceleration sensors and Brüel & Kjær multi-purpose input modules. The vibration and fatigue sources under MOC were revealed through the source path contribution (SPC) analysis method. Finally, the proposed VIMT measurement and analysis method of OCF were verified by both finite element simulation and experimental verification.

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

Analysis of weak magnetic characteristics on novel variable main flux type outer rotor permanent magnet synchronous motor for electric vehicle drive

Analysis of weak magnetic characteristics on novel variable main flux type outer rotor permanent magnet synchronous motor for electric vehicle drive

Analysis of weak magnetic characteristics on novel variable main flux type outer rotor permanent magnet synchronous motor for electric vehicle drive

Analysis of weak magnetic characteristics on novel variable main flux type outer rotor permanent magnet synchronous motor for electric vehicle drive