Energy Management in Electric Vehicles Using Improved Swarm Optimized Deep Reinforcement Learning Algorithm

The internal combustion engine-based transportation system is causing severe problems such as rising levels of pollution, rising petroleum prices, and the depletion of natural resources. To divide power between the engine and the battery in an effective manner, a sophisticated energy management syst...

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Vydané v:	Journal of Nano- and Electronic Physics Ročník 15; číslo 3; s. 3004 - 3004-6
Hlavní autori:	Jawale, M. A., Pawar, A. B., Korde, Sachin K., Rakshe, Dhananjay S., William, P., Deshpande, Neeta
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Sumy Ukraine Sumy State University, Journal of Nano - and Electronic Physics 2023
Predmet:	Algorithms Deep learning Driving conditions Electric vehicles Energy consumption Energy efficiency Energy management Fuel consumption Fuel economy Internal combustion engines Machine learning Natural resources Neural networks Optimization Optimization techniques Performance indices State of charge Training Transportation systems
ISSN:	2077-6772, 2306-4277
On-line prístup:	Získať plný text
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