Power and Energy Optimization in EV with Sensorless Externally Excited Synchronous Motor

被引:1
作者
Paulraj, T. [1 ]
Obulesu, Yeddula Pedda [1 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Vellore 632014, India
关键词
Performance analysis; Energy consumption; GHG emissions; Externally excited synchronous motor; Sensorless control; Stator and rotor mutual inductance method; ELECTRIC VEHICLE; DESIGN; DRIVE; SPEED;
D O I
10.1007/s40998-024-00714-0
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a comprehensive analysis of an Externally Excited Synchronous Motor (EESM) integrated with sensorless Field-Oriented Control (FOC) using the stator and rotor mutual inductance method focusing on its impact on electric vehicle (EV) performance, energy efficiency, and optimization considerations. The investigation on the performance analysis of the EV shows that there is an improvement in the performance of the EV in terms of the efficiency of the three-phase Voltage Source Inverter (VSI) as 95.23, 95.07, and 94.51% across IHDC, WLTP, and NEDC drive cycles respectively. The efficiency of the traction motor, EESM, is 89.61, 89.92, and 88.46% for the same cycles, highlighting the efficacy of sensorless FOC in optimizing power and energy consumption. The research analysis reveals that the energy consumption rates of 280, 190, and 140 W/km for IHDC, WLTP, and NEDC cycles, with corresponding running costs of 1.19, 0.81, and 0.59 INR/km respectively. The analysis also uncovers driving ranges, with IHDC offering a maximum of 197 km, while WLTP and NEDC provide 290 and 400 km respectively. Additionally, the research study evaluates greenhouse gas emissions, with EESM-based EVs demonstrating substantial emission reductions. Specifically, IHDC records emissions of 198.8 g/km, WLTP at 134.9 g/km, and NEDC at 99.4 g/km, compared to 158.7 g/km for petrol cars and 145.25 g/km for diesel cars respectively. This research highlights the potential of EESM-based EVs with sensorless FOC control to enhance efficiency, reduced energy consumption and reduce emissions, making them a promising choice for sustainable transportation. The proposed research work carried out using Matlab/Simulink and results are presented to validate the proposed work.
引用
收藏
页码:979 / 998
页数:20
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