Development of an energy consumption prediction model for battery electric vehicles in real-world driving: a combined approach of short-trip segment division and …

Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

Simultaneous optimization for hybrid electric vehicle parameters based on multi-objective genetic algorithms

L Fang, S Qin, G Xu, T Li, K Zhu - Energies, 2011 - mdpi.com
Compared to conventional vehicles Hybrid Electric Vehicles (HEVs) provide fairly high fuel
economy with lower emissions. To enhance HEV performance in terms of fuel economy and …

Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm

Y Xu, H Zhang, Y Yang, J Zhang, F Yang, D Yan… - Journal of Energy …, 2023 - Elsevier
This study aims to improve the fuel economy of extended range electric vehicles (EREVs)
and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs …

A BCS-GDE multi-objective optimization algorithm for combined cooling, heating and power model with decision strategies

J Sun, J Deng, Y Li, N Han - Applied Thermal Engineering, 2022 - Elsevier
District energy systems can not only reduce energy consumption but also set energy supply
dispatching schemes according to demand. In addition to economic cost, energy …

Comprehensive analysis of multi-objective optimization algorithms for sustainable hybrid electric vehicle charging systems

NF Alshammari, MM Samy, S Barakat - Mathematics, 2023 - mdpi.com
This study presents a multi-objective optimization approach for designing hybrid renewable
energy systems for electric vehicle (EV) charging stations that considers both economic and …

Combining GA-SVM and NSGA-Ⅲ multi-objective optimization to reduce the emission and fuel consumption of high-pressure common-rail diesel engine

Y Wang, G Wang, G Yao, Q Shen, X Yu, S He - Energy, 2023 - Elsevier
This research proposed a multi-objective optimization approach that combines Non-
dominated Sorting Genetic Algorithms (NSGA) Ⅲ and support vector machine (SVM) to …

Multi-objective genetic algorithm for hybrid electric vehicle parameter optimization

B Huang, Z Wang, Y Xu - 2006 IEEE/RSJ International …, 2006 - ieeexplore.ieee.org
As a typical multi-objective optimization problem, parameter optimization of HEV power
control strategy must deal with the conflict between objectives, as fuel consumption and …

A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

I Ullah, K Liu, T Yamamoto… - Energy & …, 2022 - journals.sagepub.com
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …

Co-optimization for fuel cell buses integrated with power system and air conditioning via multi-dimensional prediction of driving conditions

M Yan, H Xu, L Jin, H He, M Li, H Liu - Energy Conversion and …, 2022 - Elsevier
The unknown future driving conditions of actual fuel cell buses (FCBs) and the complex
coupling between energy-consuming components make the energy management of …

Multi-objective energy management for fuel cell electric vehicles using online-learning enhanced Markov speed predictor

Y Zhou, A Ravey, MC Péra - Energy Conversion and Management, 2020 - Elsevier
As one of promising solutions towards future cleaner transportation, fuel cell electric vehicles
have been widely regarded as an attractive technology in both academia and industry. To …