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 …

Multiobjective optimization of air-cooled battery thermal management system based on heat dissipation model

J Chen, X Zhao, B Wang, C Zhang, D Xuan - Ionics, 2021 - Springer
Battery thermal management system (BTMS) is a key to control battery temperature and
promote the development of electric vehicles. In this paper, the heat dissipation model is …

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 …

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

J Hu, W Cao, F Jiang, L Hu, Q Chen, W Zheng, J Zhou - Sustainability, 2023 - mdpi.com
The optimization of power parameters is the key to the design of pure electric vehicles.
Reasonable matching of the relationship between various parameters can effectively reduce …

Optimizing battery design for fast charge through a genetic algorithm based multi-objective optimization framework

C Liu, L Liu - ECS transactions, 2017 - iopscience.iop.org
Batteries have higher power density than before, and electric vehicles (EVs) can travel
longer distance per charge which can be comparable to conventional vehicles. However, it …

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 …

Multi-scale design optimization of electric vehicles by analytical target cascading: From battery cell level to marketing level

YK Lee, U Lee, N Kang - Journal of Cleaner Production, 2022 - Elsevier
The trend of vehicle electrification is rapidly growing and is likely to continue in the future.
However, electric vehicles (EVs) with high vehicle performance, energy efficiency, and low …

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 …

Surrogate model-based multiobjective design optimization for air-cooled battery thermal management systems

Y Fan, P Lyu, D Zhan, K Ouyang, X Tan… - … of Computational Fluid …, 2022 - Taylor & Francis
ABSTRACT A well-designed battery thermal management system (BTMS) can achieve
optimal cooling performance with less power consumption than a poorly-designed system …

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 …