AI and ML Powered IoT Applications for Energy Management in Electric Vehicles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09789-6.pdf
Reference30 articles.
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3. Xiong, H., Liu, H., Zhang, R., Yu, L., Zong, Z., Zhang, M., & Li, Z. (2019). An energy matching method for battery electric vehicle and hydrogen fuel cell vehicle based on source energy consumption rate. International Journal of Hydrogen Energy, 44(56), 29733–29742.
4. Fiori, C., Ahn, K., & Rakha, H. A. (2018). Microscopic series plug-in hybrid electric vehicle energy consumption model: Model development and validation. Transportation Research Part D: Transport and Environment, 63, 175–185.
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