The continuous technical improvements involving electric motors, battery packs, and general powertrain equipment make it strictly necessary to predict or evaluate the energy …
D Yang, L Wang, K Yu, J Liang - Energy Conversion and Management, 2022 - Elsevier
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 …
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 …
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 …
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 …
Improving plug-in hybrid electric vehicles (PHEVs) fuel economy requires a proper energy management strategy (EMS). Efforts to enhance the energy-saving performance of …
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 …
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 …
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 …