Single Switch DC-DC Converter for Battery Feed Electrical Vehicle
Keywords:
Single Switch, DC-DC Converter, Battery, Feed Electrical Vehicle
Abstract
A new single-switch transformer less lift DC-DC converter has been suggested that energy component cars could benefit from a new single-switch transformer reduced lift DC-DC converter. The newly developed topology makes use of a different capacitor multiplier and an integrated LC2D yield organise in order to improve the voltage addition of the converter and reduce the voltage load that is placed on the force switch. In addition, the suggested converter features a broad voltage gain range, which allows it to accommodate a broad variety of voltage swings produced by the energy component. The operating standards of the suggested converter as well as its consistent state examinations are presented below. Recreation was utilised in the production of a scaled-down, exploratory model that had 800 V and 1 kW. The outcomes of the re-enactment demonstrate that the framework is sufficient.
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101. Ashish Kumar Sinha, Ananda Shankar Hati, Mohamed Benbouzid, Prasun Chakrabarti, “ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation”, Machines, 9(5):87, 2021.
102. Subudhi, S. K. Sarnal and S. Ghosh, "A new low-frequency oscillatory modes estimation using TLS-ESPRIT and least mean squares sign-data (LMSSD) adaptive filtering," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017, pp. 751-756.
103. Chakrabarti P., Basu J.K., Kim T.H., “Business Planning in the light of Neuro-fuzzy and Predictive Forecasting”, Communications in Computer and Information Science, 123, pp.283-290, 2010.
104. Chakrabarti P., Goswami P.S., “Approach towards realizing resource mining and secured information transfer”, International Journal of Computer Science and Network Security, 8(7), pp.345-350, 2008.
105. Chakrabarti P., Chakrabarti T., Sharma M., Atre D, Pai K.B., “Quantification of Thought Analysis of Alcohol-addicted persons and memory loss of patients suffering from stage-4 liver cancer”, Advances in Intelligent Systems and Computing, 1053, pp.1099-1105, 2020.
106. Chakrabarti P., Bane S., Satpathy B., Goh M, Datta B N, Chakrabarti T., “Compound Poisson Process and its Applications in Business”, Lecture Notes in Electrical Engineering, 601, pp.678-685,2020.
107. Chakrabarti P., Bhuyan B., Chaudhuri A. and Bhunia C.T., “A novel approach towards realizing optimum data transfer and Automatic Variable Key(AVK)”, International Journal of Computer Science and Network Security, 8(5), pp.241-250, 2008.
108. Chakrabarti P., Chakrabarti T., Satpathy B., SenGupta I. Ware J A., “Analysis of strategic market management in the light of stochastic processes, recurrence relation, Abelian group and expectation”, Advances in Artificial Intelligence and Data Engineering, 1133, pp.701-710, 2020.
109. Chakrabarti P., Choudhury A., Naik N., Bhunia C.T., “Key generation in the light of mining and fuzzy rule”, International Journal of Computer Science and Network Security, 8(9), pp.332-337, 2008.
110. Chakrabarti P., De S.K., Sikdar S.C., “Statistical Quantification of Gain Analysis in Strategic Management”, International Journal of Computer Science and Network Security,9(11), pp.315-318, 2009.
111. Chakrabarti P., Satpathy B., Bane S., Chakrabarti T., Poddar S., “Business gain forecasting in Materials Industry - A linear dependency, exponential growth, moving average, neuro-associator and compound Poisson process perspective”, Materials Today: Proceedings, 2020.
112. Chakrabarti P., Satpathy B., Bane S., Chakrabarti T., Chaudhuri N.S., Siano P., “Business forecasting in the light of statistical approaches and machine learning classifiers”, Communications in Computer and Information Science, 1045, pp.13-21, 2019.
113. G. K. Bhamre and S. S. Banait, “Parallelization of Multipattern Matching on GPU, “International Journal of Electronics, Communication & Soft Computing Science and Engineering, Vol.3, no.3, pp.24-28, 2014.
114. Gupta, I.K., Choubey, A. and Choubey, S., 2022. Artifical intelligence with optimal deep learning enabled automated retinal fundus image classification model. Expert Systems, 39(10), p.e13028.
115. Gupta, I.K., Choubey, A. and Choubey, S., 2022. Mayfly optimization with deep learning enabled retinal fundus image classification model. Computers and Electrical Engineering, 102, p.108176.
116. Gupta, I.K., Mishra, A.K., Diwan, T.D. and Srivastava, S., 2023. Unequal clustering scheme for hotspot mitigation in IoT-enabled wireless sensor networks based on fire hawk optimization. Computers and Electrical Engineering, 107, p.108615.
117. K. Gupta, A. Choubey, and S. Choubey, “Salp swarm optimisation with deep transfer learning enabled retinal fundus image classification model,” Int. J. Netw. Virtual Organ., vol. 27, no. 2, p. 163–180, 2022.
118. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
119. Kothi N., Laxkar P. Jain A., Chakrabarti P., “Ledger based sorting algorithm”, Advances in Intelligent Systems and Computing, 989, pp. 37-46, 2020.
120. Magare A., Lamin M., Chakrabarti P., “Inherent Mapping Analysis of Agile Development Methodology through Design Thinking”, Lecture Notes on Data Engineering and Communications Engineering, 52, pp.527-534,2020.
121. Meng, F. (2023) Transformers: Statistical Interpretation, Architectures and Applications.
122. Meng, F., Jagadeesan, L., & Thottan, M. (2021). Model-based reinforcement learning for service mesh fault resiliency in a web application-level. arXiv preprint arXiv:2110.13621.
123. Meng, F., Zhang, L., & Chen, Y. (2023) FEDEMB: An Efficient Vertical and Hybrid Federated Learning Algorithm Using Partial Network Embedding.
124. Meng, F., Zhang, L., & Chen, Y. (2023) Sample-Based Dynamic Hierarchical Trans-Former with Layer and Head Flexibility Via Contextual Bandit.
125. Mishra, A.K., Gupta, I.K., Diwan, T.D. and Srivastava, S., 2023. Cervical precancerous lesion classification using quantum invasive weed optimization with deep learning on biomedical pap smear images. Expert Systems, p.e13308.
126. Mishra, S., & Kumar Samal, S. (2023). Mitigation of transmission line jamming by price intrusion technique in competitive electricity market. International Journal of Ambient Energy, 44(1), 171-176.
127. Mishra, S., & Samal, S. K. (2023). Impact of electrical power congestion and diverse transmission congestion issues in the electricity sector. Energy Systems, 1-13.
128. P. K. Sahu, S. Maity, R. K. Mahakhuda and S. K. Samal, "A fixed switching frequency sliding mode control for single-phase voltage source inverter," 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014], Nagercoil, India, 2014, pp. 1006-1010.
129. Patidar H., Chakrabarti P., “A Novel Edge Cover based Graph Coloring Algorithm”, International Journal of Advanced Computer Science and Applications, 8(5), pp.279-286,2017.
130. Patidar H., Chakrabarti P., “A Tree-based Graphs Coloring Algorithm Using Independent Set”, Advances in Intelligent Systems and Computing, 714, pp. 537-546, 2019.
131. Patidar H., Chakrabarti P., Ghosh A., “Parallel Computing Aspects in Improved Edge Cover based Graph Coloring Algorithm”, Indian Journal of Science and Technology ,10(25), pp.1-9,2017.
132. Prasad A., Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications, 5(3), pp.144-147, 2014.
133. Priyadarshi N., Bhoi A.K., Sahana S.K., Mallick P.K., Chakrabarti P., Performance enhancement using novel soft computing AFLC approach for PV power system”, Advances in Intelligent Systems and Computing, 1040, pp.439-448,2020.
134. Priyadarshi N., Bhoi A.K., Sharma A.K., Mallick P.K., Chakrabarti P., “An efficient fuzzy logic control-based soft computing technique for grid-tied photovoltaic system”, Advances in Intelligent Systems and Computing, 1040,pp.131-140,2020.
135. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
136. R. Steffi, G. Jerusha Angelene Christabel, T. Shynu, S. Suman Rajest, R. Regin (2022), “ A Method for the Administration of the Work Performed by Employees”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 7-23.
137. Rajest, S. S.., Regin, R.., T, S.., G, J. A. C.., & R, S. (2022). Production of Blockchains as Well as their Implementation. Vital Annex: International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
138. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
139. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
140. Sahoo, A. K., & Samal, S. K. (2023). Online fault detection and classification of 3-phase long transmission line using machine learning model. Multiscale and Multidisciplinary Modeling, Experiments and Design, 6(1), 135-146.
141. Shah K., Laxkar P., Chakrabarti P., “A hypothesis on ideal Artificial Intelligence and associated wrong implications”, Advances in Intelligent Systems and Computing, 989, pp.283-294, 2020.
142. Sharma A.K., Panwar A., Chakrabarti P. Viswakarma S., “Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning”, Procedia Computer Science, 57, pp.686-694,2015.
143. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
144. Tiwari M., Chakrabarti P, Chakrabarti T., “Performance analysis and error evaluation towards the liver cancer diagnosis using lazy classifiers for ILPD”, Communications in Computer and Information Science, 837, pp.161-168,2018.
145. Tiwari M., Chakrabarti P, Chakrabarti T., “Novel work of diagnosis in liver cancer using Tree classifier on liver cancer dataset (BUPA liver disorder)”, Communications in Computer and Information Science, 837, pp.155-160, 2018.
Verma K., Srivastava P., Chakrabarti P., “Exploring structure oriented feature tag weighting algorithm for web documents identification”, Communications in Computer and Information Science, 837, pp.169-180, 2018.
Published
2023-09-26
How to Cite
S, K., B, M. I., R, R., & M, S. B. (2023). Single Switch DC-DC Converter for Battery Feed Electrical Vehicle. International Journal on Orange Technologies, 5(9), 31-49. Retrieved from https://journals.researchparks.org/index.php/IJOT/article/view/4802
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Articles
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