A System for Extraction of DC Motor Characteristics Using Motor Generator Coupling Technique for Use in Electric Vehicles-Reference-Cited by-同舟云学术

A System for Extraction of DC Motor Characteristics Using Motor Generator Coupling Technique for Use in Electric Vehicles

Published:2021 Issue: Volume: Page:145-156
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Das Kritanjali^ORCID,Sharma Santanu^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1978-6_13

Reference12 articles.

1. P. Podder, K. Das, S. Neroula, P. Barman, S. Sharma, Development of an automated setup for dynamic evaluation of DC motor characteristics, in 2017 IEEE Calcutta Conference, Kolkata (2017), pp. 190–195. https://doi.org/10.1109/CALCON.2017.8280722

2. Determining Electric Motor Load and Efficiency. https://energy.gov/eere/amo/downloads/determining-electricmotor-load-and-efficiency. Last accessed 2019/12/09

3. K. Das, C.K. Borah, S. Agarwal, P. Barman, S. Sharma, Road load model analysis for eco-routing navigation systems in electric vehicles, in IEEE 89th Vehicular Technology Conference, VTC, Kuala Lumpur (2019), pp. 1–5. https://doi.org/10.1109/VTCSpring.2019.8746679

4. S.S. Saab, R.A. Kaed-Bey, Parameter identification of a DC motor: an experimental approach, in ICECS 2001, 8th IEEE International Conference on Electronics, Circuits and Systems, vol. 2, Malta (2001), pp. 981–984. https://doi.org/10.1109/ICECS.2001.957638

5. A. Rubaai, R. Kotaru, Online identification and control of a DC motor using learning adaptation of neural networks. IEEE Trans. Ind. Appl. 36(3), 935–942 (2000). https://doi.org/10.1109/28.845075

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Control Theory Approach to Passive Snubber Design for Motor Drivers;Lecture Notes in Electrical Engineering;2024

2. Design of Regenerative Snubber Circuit for Motor Drivers;Lecture Notes in Electrical Engineering;2024

3. Coulombic efficiency estimation technique for eco-routing in electric vehicles;AIMS Energy;2022