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Because of their great efficiency, low cost, and pollution-free properties, hybrid electric vehicles (HEVs) are becoming more popular. Long-distance driving necessitates the use of hybrid power sources. In electric vehicles that use hybrid power sources, energy management is a crucial issue. Artificial intelligence-based algorithms have made a substantial contribution to hybrid electric car energy management systems. In a hybrid electric car that uses fuel cells, batteries, and internal combustion engines as power sources, this article provides a Fuzzy logic-based energy management strategy. Based on the present battery state of charge, varying vehicle characteristics, and driving situations, the suggested method allows efficient regulation of power flow in HEVs. The proposed fuzzy management technique demonstrates reliability, easiness in implementation and robustness.
Keywords:
Hybrid Electrical Vehicle, Fuzzy Logic, Energy Management, Battery Management
Cite Article:
"Energy management System for Hybrid Electrical Vehicle using Soft Computing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.494 - 500, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206084.pdf
Downloads:
000205304
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator