Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles

X Tang, T Jia, X Hu, Y Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A predictive energy management strategy considering travel route information is proposed
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …

Modeling and multi-objective optimization of a stand-alone PV-hydrogen-retired EV battery hybrid energy system

Z Huang, Z Xie, C Zhang, SH Chan, J Milewski… - Energy conversion and …, 2019 - Elsevier
Reusing retired electric vehicle batteries (REVBs) in renewable energy systems is a
relatively new concept, and the presented PV-hydrogen-REVB hybrid energy system is a …

Optimal sizing of battery and super-capacitor based on the MOPSO technique via a new FC-HEV application

A Djouahi, B Negrou, B Rouabah, A Mahboub… - Energies, 2023 - mdpi.com
In light of the energy and environment issues, fuel cell vehicles have many advantages,
including high efficiency, low-temperature operation, and zero greenhouse gas emissions …

Combined power management/design optimization for a fuel cell/battery plug-in hybrid electric vehicle using multi-objective particle swarm optimization

B Geng, JK Mills, D Sun - International journal of automotive technology, 2014 - Springer
In this paper, the combined power management/design optimization problem is investigated
for a fuel cell/Liion battery PHEV. Formulated as a constrained multi-objective optimization …

Multi-objective combustion optimization based on data-driven hybrid strategy

W Zheng, C Wang, Y Yang, Y Zhang - Energy, 2020 - Elsevier
In order to reduce pollutant discharge and improve boiler efficiency, data-driven hybrid
strategy is proposed to solve the problem of multi-objective combustion optimization. First …

Optimal capacity configuration of CCHP system with improved operation strategies using improved multi-objective multi-universe algorithm

C Fu, KP Lin, YT Zhou - Expert Systems with Applications, 2022 - Elsevier
In this study, a multi-objective capacity optimization model for a combined cooling, heating,
and power (CCHP) system is established, to determine the optimal configuration scheme for …

Surrogate model of liquid cooling system for lithium-ion battery using extreme gradient boosting

C Lyu, Y Song, D Yang, W Wang, S Zhu, Y Ge… - Applied Thermal …, 2022 - Elsevier
Battery thermal management system (BTMS) has been widely regarded as an effective
means to mitigate the sensitivities of lithium ion batteries (LIBs) to temperature, as to uphold …

Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles

L Xu, CD Mueller, J Li, M Ouyang, Z Hu - Applied energy, 2015 - Elsevier
A typical topology of a proton electrolyte membrane (PEM) fuel cell electric vehicle contains
at least two power sources, a fuel cell system (FCS) and a lithium battery package. The FCS …

Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages

Y He, S Guo, J Zhou, J Ye, J Huang, K Zheng, X Du - Renewable Energy, 2022 - Elsevier
In order to alleviate the resource depletion as well as achieve decarbonization, developing
renewable energy system is a feasible solution. This paper establishes a wind-photovoltaic …

4E multi-objective optimization of cold electricity co-generation system based on supercritical CO2 Brayton cycle

Y Wang, G Xie - Energy Conversion and Management, 2023 - Elsevier
Reheat Brayton cycle has advantages of compact layout and high efficiency, and heat
recovery from cooler in Brayton cycle by ammonia absorption refrigeration cycle can achieve …