Browse Topic: Electric motors

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European Initiatives addressing High efficiency and low cost electric motors for circularity and low use of rare resources2025-01-8806To be published on 04/01/2025
The automotive industry is amidst an unprecedented multi-faceted transition striving for more sustainable passenger mobility and freight transportation. The rise of e-mobility is coming along with energy efficiency improvements, CO2 and non-exhaust emission reductions, driving/propulsion technology innovations, and a hardware-software-ratio shift in vehicle development for road-based electric vehicles. Current R&D activities are focusing on electric motor topologies and designs, sustainability, manufacturing, prototyping, and testing. This is leading to a new generation of electric motors, which is considering recyclability, reduction of (rare earth) resource usage, cost criticality, and a full product life-cycle assessment, to gain broader market penetration. This paper outlines the latest advances of multiple EU-funded research projects under the Horizon Europe framework and showcases their complementarities to address the European priorities as identified in the 2ZERO SRIA . The E
Armengaud, EricRatz, FlorianMuñiz, ÁngelaPoza, JavierGarramiola, FernandoAlmandoz, GaizkaPippuri-Mäkeläinen, JenniClenet, StéphaneMessagie, MaartenD’amore, LeaLavigne Philippot, MaevaRillo, OriolMontesinos, DanielVansompel, HendrikDe Keyser, ArneRomano, ClaudioMontanaro, UmbertoTavernini, DavideGruber, PatrickRan, LiaoyuanAmati, NicolaVagg, ChristopherHerzog, MaticWeinzerl, MartinKeränen, JanneMontonen, Juho
The development of the electrification technology of unmanned aerial vehicle (UAV) puts forward higher requirements for the control performance and verification methods of permanent magnet synchronous motor (PMSM). In this paper, a fuzzy PI control strategy based on a particle swarm optimization (PSO) algorithm is proposed to optimize the parameters of the PI controller and improve the dynamic response and control accuracy of PMSM. Firstly, Matlab/Simulink is used to build an online vector control model of PMSM, and the PSO algorithm is used to optimize the controller parameters online to adapt to the dynamic characteristics of the motor under different working conditions. Secondly, a current reconstruction scheme is designed, which reshapes the current waveform by sampling at the center point of the pulse width modulation (PWM) signal to make it closer to the ideal sine wave, so as to improve the motor operation efficiency. Finally, Speedgoat is used to build a HiL hardware in-loop
Du, WentaoZhu, JingyuWang, ZhenyuWang, ChaoGeng, HemingLiu, Kun
To enhance the operating performance of the common-bus open-winding permanent magnet synchronous motor under single-phase open-circuit faults, this paper proposes a model predictive torque control strategy with torque ripple suppression. First, the operating principles of the model predictive torque control system for both normal operation and single-phase fault conditions are analyzed. Based on this analysis, the electromagnetic torque controller in the model predictive torque control system is restructured. However, if the conventional space vector modulation strategy used during fault-free operation is continued, the required stator voltage cannot be achieved. Therefore, analyze the phase relationship of the current before and after the fault, derive a new Clark transformation matrix, and then based on the principle of torque invariance that can be generated by the fundamental magnetic flux, derive the coefficients of the Park transformation of the two-phase current. To simplify the
Zhang, DongdongMo, FushenLin, Xiaogang
This paper designs a low-budget yokeless and segmented armature (YASA) axial flux permanent magnet synchronous machine, which replaces some of the PMs attached to the rotor with silicon steel plates. For the purpose of checking the effectiveness of the proposed machine, the equivalent magnetic circuits of the typical and proposed YASA machines are first compared and analyzed, and then the models of the two machines are constructed and simulated. The results prove that the proposed YASA machine significantly reduces the quantity of permanent magnets compared to the typical machine. In addition, the thickness of the machine rotor disc has been reduced by optimizing the machine, which both enhances the power density and reduces the volume of the machine. Finally, the rotor-stator magnetic pulling force of the machine is simulated and analyzed, and the results prove that the proposed machine can operate stably.
Li, TaoWang, BitanDiao, ChengwuZhao, Wenliang
The design of weighting factors in the cost function of traditional model predictive torque control (MPTC) is relatively cumbersome, at the same time, the accuracy of the prediction model decreases obviously when the motor parameters are mismatched. Therefore, a model predictive control without weighting factors based on on-line identification of motor parameters is studied. Firstly, the control objectives transformed from torque and flux of traditional MPTC to active torque and reactive torque, since they are of the same dimension the design of weighting factors is unnecessary. Secondly, aiming at the problem of control performance degradation caused by the change of motor parameters in the prediction model, the online identification of motor parameters based on model reference adaptive system is studied, the identification results are applied to the prediction process to avoid the bad influence caused by the parameter variation. The findings from the simulation indicate that the
Zhang, YanqingJia, DanyangYin, ZhonggangLiu, Qi
The permanent magnet synchronous motor (PMSM) has become the preferred driving technology in robotic control engineering due to its high-power density and excellent dynamic response capability. However, traditional vector control strategies, while widely used, reveal certain limitations due to their reliance on high-precision sensors and the complex coordinate transformation calculations. These limitations affect the performance of robots in high-speed environments. This paper proposes a decoupling design for the PMSM current loop based on Internal model control (IMC), aiming to improve control accuracy and response speed by simplifying the control algorithm. This new strategy not only maintains the basic framework of vector control but also enhances the dynamic performance of the system through effective decoupling. Simulations conducted using Simulink demonstrate that this strategy significantly improves system stability and dynamic response speed, achieving more precise and rapid
Chen, HaoHuan, DiGong, ChaoLiu, Chenliang
As regulations regarding vehicle emissions and fuel consumption become increasingly stringent, the development of hybrid power systems is accelerating, primarily due to their benefits in fuel efficiency and reduction of pollutants. Hybrid engines are specially designed to operate optimally at mid to high speeds and loads. But for low-speed low-load conditions, due to the relatively low in-cylinder tumble intensity and lower injection pressure, the fuel-air mixture tends to deteriorate, resulting in an increase in particle number. To enable the engine to reach optimal RPM and load quickly during frequent start-stop cycles, hybrid engines typically set a higher startup engine speed and establish fuel rail pressure more quickly compared to traditional engines. Yet hybrid engines still encounter challenges of soot generation during cold start conditions. Especially in urban driving conditions where the hybrid engine frequently experiences startups and idling, the soot generation problem
Liu, ChangyeMan, XingjiaCui, MingliLiang, YuanfeiWang, ShangningLi, Xuesong
New-energy vehicles (NEVs) are gaining increasing attention as global efforts focus on reducing carbon emissions and dependence on fossil fuels. The motor drive system, a core technology of electric vehicles, has become a prominent research focus in both academia and industry. This paper investigates a novel matrix-torque-component machine (MTCM) that has been proposed for use in electric vehicles in recent years. First, the paper introduces the topology and torque generation mechanism of MTCM and IPMs. For comparison, an MTCM and a detailed model of the Toyota Prius 2010 interior permanent magnet machine (IPM) are developed. The torque capacity, loss distribution, and operational performance are then compared sequentially. Results indicate that the torque-generating capacity of the MTCM is higher than that of the IPM. Additionally, the MTCM performs better in low-speed, high-torque ranges. Therefore, the MTCM shows promising application potential in electric heavy-duty trucks and as a
Sun, PengchengJia, ShaofengYang, DongxuLiang, Deliang
Electrified powertrain configurations are critical to the fuel economy and performance of hybrid vehicles. While single planetary gear (PG) configurations - such as the Toyota Prius - have the advantage of simple control and excellent fuel economy, the generator1 is unable to participate in the drive, resulting in poor acceleration. To overcome these problems, we propose a new multi-gear electronically controlled continuously variable transmission (ECVT) due to its high efficiency and excellent acceleration performance. It requires only one PG and two synchronizers. For this type of multi-gear ECVT hybrid vehicle, this paper describes in detail the synchronizer-based shift logic of the new configuration. Furthermore, the power flow and dynamics modeling process in different operating modes are systematically analyzed. In addition, the global optimal Dynamic Programming (DP) algorithm is presented and a new near-optimal energy management strategy, Rapid-DP, is employed to evaluate the
Zou, YungeZhang, YuxinYang, YalianLiu, Changdong
To investigate the characteristics of a battery direct-cooling thermal management system integrated with the passenger compartment air-conditioning in a range-extended hybrid electric vehicle (REV), a model of the vehicle’s direct-cooling and liquid-cooling thermal management systems was established in GT-SUITE software. The findings are as follows: (1) Under high-temperature fast-charging conditions, the direct-cooling thermal management system exhibited improved performance indicators compared to the liquid-cooling system. Specifically, the charging time was reduced by 3.8%, the maximum heat exchange power increased by 27.33%, the battery temperature decreased by 2.37°C, the thermal decay rate was only 6%, and the average system energy efficiency ratio increased by 8.37%. (2)The outlet pressure of the direct-cooling plate significantly affected the temperature reduction of the battery pack during high-temperature fast-charging. The results indicated that within a certain range, a
Li, Li-JieSu, ChuqiWang, Yi-PingYuan, Xiao-HongLiu, Xun
The predictive torque control strategy is a very commonly used model predictive control strategy. At present, the research prospects of PTC in motor control are broad, but there are still certain limitations in the industrial application of PTC. In traditional prediction torque control, due to the inconsistent units of electromagnetic torque and stator magnetic flux, weight factors need to be introduced to balance the control effects of the two. However, due to the cumbersome and time-consuming process of determining weight factors, it is not conducive to industrial promotion. In order to solve the problem of weight factors, this paper studies a new torque prediction control strategy based on stator flux vector angle that can avoid weight factors on the basis of traditional torque prediction control. The overall process of the new strategy is to first derive the relationship between the angle between the stator voltage vector and the stator magnetic flux vector and the electromagnetic
Zhang, DongdongHuang, YasongDu, AnnanLin, Xiaogang
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