An ensemble learning velocity prediction-based energy management strategy for a plug-in hybrid electric vehicle considering driving pattern adaptive reference SOC
X Lin, J Wu, Y Wei - Energy, 2021 - Elsevier
The fuel economy of a plug-in hybrid electric vehicle is largely dependent on the battery
energy usage during various driving cycles. In this research, within the model predictive …
energy usage during various driving cycles. In this research, within the model predictive …
Strategies for the modelisation of electric vehicle energy consumption: a review
A Di Martino, SM Miraftabzadeh, M Longo - Energies, 2022 - mdpi.com
The continuous technical improvements involving electric motors, battery packs, and general
powertrain equipment make it strictly necessary to predict or evaluate the energy …
powertrain equipment make it strictly necessary to predict or evaluate the energy …
A reinforcement learning-based energy management strategy for fuel cell hybrid vehicle considering real-time velocity prediction
The fuel cell vehicle is an ideal new energy vehicle development direction, and its energy
management strategy is one of the core technologies to ensure the safe and efficient …
management strategy is one of the core technologies to ensure the safe and efficient …
DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion
Driving style detection is an essential real-world requirement in diverse contexts, such as
traffic safety, car insurance and fuel consumption optimization. However, the existing …
traffic safety, car insurance and fuel consumption optimization. However, the existing …
Data-driven multi-criteria decision support method for electric vehicle selection
Z Tian, H Liang, R Nie, X Wang, J Wang - Computers & Industrial …, 2023 - Elsevier
Electric vehicles (EVs) are becoming one of the most popular forms of low-carbon
transportations due to growing awareness of environmental protection and vigorous …
transportations due to growing awareness of environmental protection and vigorous …
Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression
J Jiang, Y Yu, H Min, Q Cao, W Sun, Z Zhang, C Luo - Energy, 2023 - Elsevier
Electric bus energy consumption prediction is conducive to bus route scheduling and
charging optimization management. However, existing prediction models do not …
charging optimization management. However, existing prediction models do not …
Health-conscious predictive energy management strategy with hybrid speed predictor for plug-in hybrid electric vehicles: Investigating the impact of battery electro …
Improving plug-in hybrid electric vehicles (PHEVs) fuel economy requires a proper energy
management strategy (EMS). Efforts to enhance the energy-saving performance of …
management strategy (EMS). Efforts to enhance the energy-saving performance of …
Meta rule-based energy management strategy for battery/supercapacitor hybrid electric vehicles
Driving pattern recognition (DPR) is widely used to improve the robustness of rule-based
energy management strategies (EMS). However, the number and quality of preset patterns …
energy management strategies (EMS). However, the number and quality of preset patterns …
From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus
Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …
operation and management, which can effectively mitigate the driving range anxiety while …
Pattern recognition and deep learning technologies, enablers of industry 4.0, and their role in engineering research
The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …
(DL) artificial intelligence methods developed for the management of data in the last six …