A highly accurate predictive-adaptive method for lithium-ion battery remaining discharge energy prediction in electric vehicle applications

G Liu, M Ouyang, L Lu, J Li, J Hua - Applied energy, 2015 - Elsevier
… , ie the adaptive energy prediction method (AEP) … predictive energy prediction method (PEP)
through future parameter variation prediction, and the predictive-adaptive energy prediction

A review of life prediction methods for PEMFCs in electric vehicles

A Tang, Y Yang, Q Yu, Z Zhang, L Yang - Sustainability, 2022 - mdpi.com
… Since it is particularly important to accurately carry out PEMFC life predictions, significant …
methods. In this paper, a number of PEMFC life prediction methods for electric vehicles are …

Prediction of electric vehicle range: A comprehensive review of current issues and challenges

BO Varga, A Sagoian, F Mariasiu - Energies, 2019 - mdpi.com
… As the use of mathematical models can lead to errors in estimating values at the end, we
will present and analyze some of the methods and current studies in predicting EV range, …

Towards a model for electric vehicle noise emission in the European prediction method CNOSSOS-EU

MA Pallas, M Berengier, R Chatagnon, M Czuka… - Applied Acoustics, 2016 - Elsevier
… assessment method (REMEL) in Ref. [12]. The present paper proposes noise emission
data for considering light electric vehicles in the harmonised European prediction method

Ensemble machine learning-based algorithm for electric vehicle user behavior prediction

YW Chung, B Khaki, T Li, C Chu, R Gadh - Applied Energy, 2019 - Elsevier
electric vehicle (EV) charging behavior and aims to find the best method for its prediction in
… Therefore, this paper discusses and compares several commonly used prediction methods, …

Performance evaluation and prediction for electric vehicle heat pump using machine learning method

Y Wang, W Li, Z Zhang, J Shi, J Chen - Applied Thermal Engineering, 2019 - Elsevier
… However, former applications of machine learning method in the refrigeration field mainly
focus … to predict the heating capacity and COP of R134a EVI heat pump for electric vehicles are …

Energy consumption analysis and prediction of electric vehicles based on real-world driving data

J Zhang, Z Wang, P Liu, Z Zhang - Applied Energy, 2020 - Elsevier
prediction framework based on machine learning methods is proposed and compared with
the conventional method. … In this study, the conventional prediction method implemented on '…

ARIMA-based road gradient and vehicle velocity prediction for hybrid electric vehicle energy management

J Guo, H He, C Sun - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… Compared with the other power demand prediction methods, our prediction structure has …
data, our VG prediction method is able to operate with longer prediction and control horizons, …

Research on electric vehicle (EV) driving range prediction method based on PSO-LSSVM

Z Wang, XH Wang, LZ Wang, XF Hu… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
methods have numerous drawbacks. This paper presents a novel prediction method based
… ) of battery pack are used for training model to predict EV driving range. Furthermore, the …

Data-driven spatial-temporal prediction of electric vehicle load profile considering charging behavior

X Ge, L Shi, Y Fu, SM Muyeen, Z Zhang… - Electric Power Systems …, 2020 - Elsevier
… is employed to improve the operation efficiency of the prediction method in this paper.
The spatial-temporal prediction method of EV cluster load profile is shown in Fig. 2. …