… (MLR) was used to predict the energyconsumption based on … 12 grade ranges and developed eight regression models (4 … useful in the real-world as they cannot be used to guide the …
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 batteryelectricvehicle driven by real-world driving data,” …
… braking, gradeability and the energyconsumption of ancillary … for realworld EVs due to the changing impedance of the battery … For this purpose, a load predictionmodel is developed as …
… in electricvehicles with battery/supercapacitor hybrid energy storage system. Firstly, an one-year real-world … crisis and environmental pollution have stimulated rapid developments in …
… fuel-poweredvehicles to electric ones through the development of higher capacity batteries, better … Future energyconsumption has been predicted using additional road information to …
K Akbar, Y Zou, Q Awais, MJA Baig, M Jamil - Electronics, 2022 - mdpi.com
… aims to use machine learning to develop a reliable SOH predictionmodel for batteries. A … accurate and dependable model for forecastingbattery health in real-world scenarios. Third, …
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 …
… 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 realworld …
X Hao, H Wang, Z Lin, M Ouyang - Journal of Cleaner Production, 2020 - Elsevier
… (EC) differs significantly from the consumptionpredicted by … The global electricvehicle market is developing rapidly, with … estimate BEV real-worldenergyconsumption and driving …