Harnessing big data for estimating the energy consumption and driving range of electric vehicles

GM Fetene, S Kaplan, SL Mabit, AF Jensen… - … Research Part D …, 2017 - Elsevier
Analyzing the factors that affect the energy efficiency of vehicles is crucial to the overall
improvement of the environmental efficiency of the transport sector, one of the top polluting …

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 …

Estimating truck fuel consumption with machine learning using telematics, topology and weather data

T Bousonville, M Dirichs… - … Conference on Industrial …, 2019 - ieeexplore.ieee.org
When purchasing new trucks it is crucial to have a good estimate of the future fuel
consumption of the different truck models to choose from. The fuel consumption is a function …

Parametric analysis and prediction of energy consumption of electric vehicles using machine learning

MN Nabi, B Ray, F Rashid, W Al Hussam… - Journal of Energy …, 2023 - Elsevier
Emission regulations for all automobiles have been introduced to reduce global warming
caused by vehicles. Hybrid electric vehicles (HEVs) are being developed to address …

[HTML][HTML] Energy consumption prediction of electric city buses using multiple linear regression

RM Sennefelder, R Martín-Clemente… - Energies, 2023 - mdpi.com
The widespread electrification of public transportation is increasing and is a powerful way to
reduce greenhouse gas (GHG) emissions. Using real-world driving data is crucial for vehicle …

Comparative analysis of life cycle greenhouse gas emission of passenger cars: A case study in China

H Zhang, F Zhao, H Hao, Z Liu - Energy, 2023 - Elsevier
Greenhouse gas emission is a vital problem affecting the fate of mankind. To reduce the
emission, passenger cars with various types of power system has been introduced in China …

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
With increasing mass-adoption of electric vehicles, the energy consumption has become a
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …

Fuel consumption models applied to automobiles using real-time data: A comparison of statistical models

AG Çapraz, P Özel, M Şevkli, ÖF Beyca - Procedia Computer Science, 2016 - Elsevier
Even though the number and variety of fuel consumption models projected in the literature
are common, studies on their validation using real-life data is not only limited but also does …

Energy consumption evaluation of passenger electric vehicle based on ambient temperature under Real-World driving conditions

G Lee, J Song, Y Lim, S Park - Energy Conversion and Management, 2024 - Elsevier
Electric vehicles are affected by ambient temperature, which is closely related to the driving
range. This study conducted a comprehensive evaluation of the energy efficiency using both …

[HTML][HTML] Driving behaviour analysis using machine and deep learning methods for continuous streams of vehicular data

N Peppes, T Alexakis, E Adamopoulou, K Demestichas - Sensors, 2021 - mdpi.com
In the last few decades, vehicles are equipped with a plethora of sensors which can provide
useful measurements and diagnostics for both the vehicle's condition as well as the driver's …