Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient …

X Sun, J Fu - Energy, 2024 - Elsevier
In this study, extensive efforts have been devoted to optimizing the energy distribution and
performance of a battery electric vehicle (BEV). An integrated simulation model based on …

A real-time optimization energy management of range extended electric vehicles for battery lifetime and energy consumption

J Li, X Wu, M Xu, Y Liu - Journal of Power Sources, 2021 - Elsevier
Due to the complexity of two power source control for range extended electric vehicles, this
paper proposes a real-time multi-objective prediction energy management strategy that can …

Multi-objective design optimization of battery thermal management system for electric vehicles

S Su, W Li, Y Li, A Garg, L Gao, Q Zhou - Applied Thermal Engineering, 2021 - Elsevier
Lithium batteries are commonly used as the primary power storage unit for electric vehicles,
and their performance is sensitive to temperature. Thus, the battery thermal management …

The multi-objective optimization of powertrain design and energy management strategy for fuel cell–battery electric vehicle

J Zhou, C Feng, Q Su, S Jiang, Z Fan, J Ruan, S Sun… - Sustainability, 2022 - mdpi.com
Considering the limited driving range and inconvenient energy replenishment way of battery
electric vehicle, fuel cell electric vehicles (FC EVs) are taken as a promising way to meet the …

Multi-objective optimization study of energy management strategy and economic analysis for a range-extended electric bus

J Li, X Jin, R Xiong - Applied energy, 2017 - Elsevier
A method of multi-objective optimal energy management is proposed to match the APU fuel
consumption and the battery state of health (SOH) in the power system of a range-extended …

Design optimization of renewable energy systems for NZEBs based on deep residual learning

M Ferrara, F Della Santa, M Bilardo, A De Gregorio… - Renewable Energy, 2021 - Elsevier
The design of renewable energy systems for Nearly Zero Energy Buildings (NZEB) is a
complex optimization problem. In recent years, simulation-based optimization has …

Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition

M Mahmoodi-k, M Montazeri, V Madanipour - Energy, 2021 - Elsevier
Due to emission concerns as well as fuel shortages and expenses, plug-in hybrid electric
vehicles (PHEVs) have become public and successful in the market. The performance of …

Neural network‐based energy management of multi‐source (battery/UC/FC) powered electric vehicle

HA Yavasoglu, YE Tetik… - International Journal of …, 2020 - Wiley Online Library
Due to increased environmental pollution and global warming concerns, the use of energy
storage units that can be supported by renewable energy resources in transportation …

Multi-objective optimization of charging patterns for lithium-ion battery management

K Liu, K Li, H Ma, J Zhang, Q Peng - Energy Conversion and Management, 2018 - Elsevier
Abstract Lithium-ion (Li-ion) battery charging is a crucial issue in energy management of
electric vehicles. Developing suitable charging patterns, while taking into account of various …

[HTML][HTML] Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion

M Li, H Liu, M Yan, J Wu, L Jin, H He - Energy Conversion and …, 2023 - Elsevier
This paper aims to answer how to effectively integrate the data-driven method into the
traditional predictive energy management algorithm rather than replacing it outright. Given …