Maximum Torque Per Ampere (MTPA) Control of IPMSM Systems Based on Controller Parameters Self-Modification

Wang, Huimin; Li, Chongyuan; Zhang, Guozheng; Geng, Qingbo; Shi, Tingna

doi:10.1109/tvt.2020.2968133

Cited by 22 publications

(8 citation statements)

References 21 publications

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“…− Measure DC voltage (V dc ), speed (ω), and temperature. − The winding resistance is updated as a function of temperature using (15). − For each current angle 𝛽, the d-and q-axis current components are calculated using (13).…”

Section: The Proposed Online Efficiency Optimization Methodsmentioning

confidence: 99%

“…The temperature directly affects the stator resistance and hence the amount of copper loses. The temperature effect is included considering (15). The DC voltage is measured instantaneously each sample time.…”

Section: The Proposed Online Efficiency Optimization Methodsmentioning

confidence: 99%

“…These sensors provide instantaneous temperature variations not only for protection issues but also for control ones. The winding resistance of IPMSM changes with the temperature as illustrated by (15). The change of stator resistance will affect the amount of copper losses.…”

Section: Effect Of Temperature and Motor Parameter Variationsmentioning

confidence: 99%

“…On the other side, new control techniques are introduced to improve system efficiency. First, the maximum torque per ampere (MTPA) is developed [12]- [15]. Then, the maximum efficiency per ampere (MEPA) is introduced [16]- [20].…”

Section: Introductionmentioning

confidence: 99%

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Online efficiency optimization of IPMSM for electric vehicles

Elsherbiny

Ahmed

Elwany

2021

IJPEDS

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<span>This paper presents an online efficiency optimization method for the interior permanent magnet synchronous motor (IPMSM) drive system in an electric vehicle (EV). The proposed method considers accurately the total system losses including fundamental copper and iron losses, harmonic copper and iron losses, magnet loss, and inverter losses. Therefore, it has the capability to always guarantee maximum efficiency control. A highly trusted machine model is built using finite element analysis (FEA). This model considers accurately the magnetic saturation, spatial harmonics, and iron loss effect. The overall system efficiency is estimated online based on the accurate determination of system loss, and then the optimum current angle is defined online for the maximum efficiency per ampere (MEPA) control. A series of results is conducted to show the effectiveness and fidelity of proposed method. The results show the superior performance of proposed method over the conventional offline efficiency optimization methods.</span>

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Section: The Proposed Online Efficiency Optimization Methodsmentioning

confidence: 99%

Section: The Proposed Online Efficiency Optimization Methodsmentioning

confidence: 99%

Section: Effect Of Temperature and Motor Parameter Variationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Online efficiency optimization of IPMSM for electric vehicles

Elsherbiny

Ahmed

Elwany

2021

IJPEDS

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show abstract

“…Thus, ambitious technological targets have been set for both electric machines (power density of 5.7 kW/L, overall efficiency of 93% and cost of 4.7 $/kW) and power electronics (power density of 13.4 kW/L, overall efficiency of 97% and cost of 3.3 $/kW) [4]. With regard to high power density and efficiency requirements, surface mounted or interior permanent magnet synchronous machines (PMSM) are commonly adopted [5][6][7][8]. Current trends on PMSM technology focus on multiphase configurations [9,10], high speed electric machines (HSEM) [11][12][13], and on in-wheel direct drive solutions [14,15].…”

Section: Introductionmentioning

confidence: 99%

Novel Thermal Management Strategy for Improved Inverter Reliability in Electric Vehicles

et al. 2020

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Requirements for electric vehicle (EV) propulsion systems—i.e., power density, switching frequency and cost—are becoming more stringent, while high reliability also needs to be ensured to maximize a vehicle’s life-cycle. Thus, the incorporation of a thermal management strategy is convenient, as most power inverter failure mechanisms are related to excessive semiconductor junction temperatures. This paper proposes a novel thermal management strategy which smartly varies the switching frequency to keep the semiconductors’ junction temperatures low enough and consequently extend the EV life-cycle. Thanks to the proposal, the drivetrain can operate safely at maximum attainable performance limits. The proposal is validated through simulation in an advanced digital platform, considering a 75-kW in-wheel Interior Permanent Magnet Synchronous Machine (IPMSM) drive fed by an automotive Silicon Carbide (SiC) power converter.

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Regenerative Braking Control Methods of Interior Permanent Magnet Synchronous Motor for Electric Vehicles

Mohanrajan

2021

Cognitive Informatics and Soft Computing

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Maximum Torque Per Ampere (MTPA) Control of IPMSM Systems Based on Controller Parameters Self-Modification

Cited by 22 publications

References 21 publications

Online efficiency optimization of IPMSM for electric vehicles

Online efficiency optimization of IPMSM for electric vehicles

Novel Thermal Management Strategy for Improved Inverter Reliability in Electric Vehicles

Regenerative Braking Control Methods of Interior Permanent Magnet Synchronous Motor for Electric Vehicles

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