[HTML][HTML] Adaptive ECMS based on speed forecasting for the control of a heavy-duty fuel cell vehicle for real-world driving

M Piras, V De Bellis, E Malfi, R Novella… - Energy Conversion and …, 2023 - Elsevier
… advantages when compared to battery electric vehicles (BEVs), … this study can be attributed
to the development of an A-ECMS … on the idea that electricity consumption can be converted …

Estimation of energy consumption of electric vehicles using deep convolutional neural network to reduce driver's range anxiety

S Modi, J Bhattacharya, P Basak - ISA transactions, 2020 - Elsevier
… (MLR) was used to predict the energy consumption based on … 12 grade ranges and developed
eight regression models (4 … useful in the real-world as they cannot be used to guide the …

Machine learning-based method for remaining range prediction of electric vehicles

L Zhao, W Yao, Y Wang, J Hu - Ieee Access, 2020 - ieeexplore.ieee.org
… Though the Coulomb counting is developed widespread for … ) model to predict the energy
consumption rate of EVs through … of battery electric vehicle driven by real-world driving data,” …

State of power prediction for lithium-ion batteries in electric vehicles via wavelet-Markov load analysis

MF Niri, TQ Dinh, TF Yu, J Marco… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… braking, gradeability and the energy consumption of ancillary … for real world EVs due to the
changing impedance of the battery … For this purpose, a load prediction model is developed as …

Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles

Y Wu, Z Huang, Y Zheng, Y Liu, H Li, Y Che… - Energy Conversion and …, 2023 - Elsevier
… in electric vehicles with battery/supercapacitor hybrid energy storage system. Firstly, an
one-year real-world … crisis and environmental pollution have stimulated rapid developments in …

Neural Network-Based Electric Vehicle Range Prediction for Smart Charging Optimization

MJ Eagon, DK Kindem… - Journal of …, 2022 - asmedigitalcollection.asme.org
… fuel-powered vehicles to electric ones through the development of higher capacity batteries,
better … Future energy consumption has been predicted using additional road information to …

A machine learning-based robust state of health (SOH) prediction model for electric vehicle batteries

K Akbar, Y Zou, Q Awais, MJA Baig, M Jamil - Electronics, 2022 - mdpi.com
… aims to use machine learning to develop a reliable SOH prediction model for batteries. A …
accurate and dependable model for forecasting battery health in real-world scenarios. Third, …

Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles

H Zhang, N Lei, S Liu, Q Fan, Z Wang - Energy, 2023 - Elsevier
used from a high-efficiency spark-induced compression ignition (SICI) engine to model the
CPHEV, and the real-world … become an important development trend [2]. For the future new …

Impact of road gradient on electric vehicle energy consumption in real-world driving

I Sagaama, A Kchiche, W Trojet, F Kamoun - International Conference on …, 2020 - Springer
… the force commonly used to overcome road gradient resistance for predicting the amount of
… A data Acquisition and processing system is developed in this research to record real world

Seasonal effects on electric vehicle energy consumption and driving range: A case study on personal, taxi, and ridesharing vehicles

X Hao, H Wang, Z Lin, M Ouyang - Journal of Cleaner Production, 2020 - Elsevier
… (EC) differs significantly from the consumption predicted by … The global electric vehicle
market is developing rapidly, with … estimate BEV real-world energy consumption and driving …