Data-driven energy efficient speed planning for battery electric industrial vehicles: Forklift as a case study

Z Tong, S Guan, Q Zhang, XKE Cao - Journal of Cleaner Production, 2024 - Elsevier
Battery electric industrial vehicles (BEIVs) offer significant environmental protection and
decarbonization potential for rapidly growing logistics and transportation sectors in China …

Speed planning for connected electric buses based on battery capacity loss

P Tong, Y Yan, B Li, D Wang, X Qu - Journal of Cleaner Production, 2021 - Elsevier
Connected battery electric buses (CBEBs) equipped with Vehicle-to-Infrastructure (V2I) have
great potential for improving bus performance, through aspects such as energy saving and …

Data-driven probabilistic energy consumption estimation for battery electric vehicles with model uncertainty

A Maity, S Sarkar - International Journal of Green Energy, 2024 - Taylor & Francis
This paper presents a novel probabilistic data-driven approach to trip-level energy
consumption estimation of battery electric vehicles (BEVs). As there are very few electric …

Research on the energy-saving strategy of path planning for electric vehicles considering traffic information

G Zhu, J Lin, Q Liu, H He - Energies, 2019 - mdpi.com
Battery-powered electric vehicles (EVs) have a limited on-board energy storage and present
the problem of driving mileage anxiety. Moreover, battery energy storage density cannot be …

Construction of analytical models for driving energy consumption of electric buses through machine learning

KC Lin, CN Lin, JJC Ying - Applied sciences, 2020 - mdpi.com
In recent years, the Taiwan government has been calling for the use of public transportation
and has been popularizing pollution-reducing green vehicles. Passenger transport …

Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning

H Lee, K Kim, N Kim, SW Cha - Applied Energy, 2022 - Elsevier
Eco-driving is a term used to refer to a strategy for operating vehicles so as to minimize
energy consumption. Without any hardware changes, eco-driving is an effective approach to …

Real-time adaptive energy management for off-road hybrid electric vehicles based on decision-time planning

N Yang, L Han, L Bo, B Liu, X Chen, H Liu, C Xiang - Energy, 2023 - Elsevier
Unknown and changeable driving conditions of off-road hybrid electric vehicle (HEV)
challenge its energy management strategy (EMS). To tackle this issue, the paper develops a …

Data-Driven Approach for Estimating Energy Consumption of Electric Buses under On-Road Operation Conditions

X Zhou, K An, W Ma - Journal of Transportation Engineering, Part A …, 2023 - ascelibrary.org
The transformation of diesel buses into battery-powered electric buses for public
transportation has become a global trend. The ability to evaluate the energy consumption of …

Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction

M Li, M Yan, H He, J Peng - Journal of Cleaner Production, 2021 - Elsevier
The energy-saving and emission reduction potential of hybrid electric vehicles are of great
significance to the environment's sustainable development. The trade-off between energy …

A hybrid on-line approach for predicting the energy consumption of electric buses based on vehicle dynamics and system identification

Y Pan, W Fang, Z Ge, C Li, C Wang, B Guo - Energy, 2024 - Elsevier
Energy consumption modeling for electric vehicles is conducive to achieving eco-driving
optimization and alleviating driver 'range anxiety'. However, it remains challenging due to …