Operation Energy Consumption Estimation Method of Electric Bus Based on CNN Time Series Prediction

Y Xing, Y Li, W Liu, W Li, L Meng - Mathematical Problems in …, 2022 - Wiley Online Library
In order to further improve the accuracy of electric bus energy consumption estimation and
reduce the complexity of using data, the paper proposes a new method for estimating …

From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus

S Nan, R Tu, T Li, J Sun, H Chen - Energy, 2022 - Elsevier
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 …

Data-driven estimation of energy consumption for electric bus under real-world driving conditions

Y Chen, Y Zhang, R Sun - Transportation Research Part D: Transport and …, 2021 - Elsevier
Reliable and accurate estimation of an electric bus's instantaneous energy consumption is
critical in evaluating energy impacts of planning and control of electric bus operations. In this …

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 …

[HTML][HTML] Prediction of electric buses energy consumption from trip parameters using deep learning

T Pamuła, D Pamuła - Energies, 2022 - mdpi.com
The energy demand of electric buses (EBs) is a very important parameter that should be
considered by transport companies when introducing electric buses into the urban bus fleet …

A convolutional neural network-based driving cycle prediction method for plug-in hybrid electric vehicles with bus route

Z Chen, C Yang, S Fang - IEEE Access, 2019 - ieeexplore.ieee.org
Driving cycle prediction plays a key role in energy management strategy (EMS) for hybrid
electric vehicles (HEVs). This paper studies a driving cycle prediction method based on …

[HTML][HTML] Estimation of the energy consumption of battery electric buses for public transport networks using real-world data and deep learning

T Pamuła, W Pamuła - Energies, 2020 - mdpi.com
The estimation of energy consumption is an important prerequisite for planning the required
infrastructure for charging and optimising the schedules of battery electric buses used in …

Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data

P Li, Y Zhang, Y Zhang, K Zhang - Applied Energy, 2021 - Elsevier
With increasing adoption of electric buses, an accurate and real-time electric bus energy
consumption (EBEC) prediction can significantly contribute to the battery capacity …

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 …

Comparative study on the prediction of city bus speed between LSTM and GRU

G Hwang, Y Hwang, S Shin, J Park, S Lee… - International journal of …, 2022 - Springer
Given the vehicle speed during actual driving, it is possible to apply an advanced energy
management strategy for achieving better efficiency and less emission. We conducted a …