State of the art and trends in electric and hybrid electric vehicles

M Ehsani, KV Singh, HO Bansal… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Electric and hybrid electric vehicles (EV/HEV) are promising solutions for fossil fuel
conservation and pollution reduction for a safe environment and sustainable transportation …

[HTML][HTML] State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …

[HTML][HTML] Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles

MH Zafar, M Mansoor, M Abou Houran, NM Khan… - Energy, 2023 - Elsevier
State of charge (SoC) estimation is critical for the safe and efficient operation of electric
vehicles (EVs). This work proposes a hybrid multi-layer deep neural network (HMDNN) …

Energy management strategy of hybrid energy storage system for electric vehicles based on genetic algorithm optimization and temperature effect

C Wang, R Liu, A Tang - Journal of Energy Storage, 2022 - Elsevier
Energy management strategy plays a decisive role in the energy optimization control of
electric vehicles. The traditional rule-based and fuzzy control energy management strategy …

Predicting short wind speed with a hybrid model based on a piecewise error correction method and Elman neural network

L Ding, Y Bai, MD Liu, MH Fan, J Yang - Energy, 2022 - Elsevier
The effective utilization of wind energy is a positive development trend in renewable energy
that provides an effective impetus to alleviate global warming. However, the complex …

A dynamic programming-optimized two-layer adaptive energy management strategy for electric vehicles considering driving pattern recognition

C Wang, F Liu, A Tang, R Liu - Journal of Energy Storage, 2023 - Elsevier
To achieve optimal real-time power allocation in electric vehicles, a two-layer adaptive
dynamic programming (DP) optimization energy management strategy (EMS) has been …

A novel regenerative braking energy recuperation system for electric vehicles based on driving style

Q Chengqun, X Wan, N Wang, S Cao, X Ji, K Wu, Y Hu… - Energy, 2023 - Elsevier
The regenerative braking energy recovery system of pure electric vehicle is to recover and
reuse the consumed driving energy under the premise of ensuring the braking safety. In this …

NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV

R Gao, J Tao, J Zhang, L Ma, M Xu - Applied Soft Computing, 2023 - Elsevier
Hybrid energy storage system (HESS), a combination of lithium battery (LIB) and
supercapacitor (SC) in hybrid electric vehicles (HEV), can slow down the degradation of …

Control strategy optimization of hybrid electric vehicle for fuel saving based on energy flow experiment and simulation

R Feng, G Li, Z Zhao, B Deng, X Hu, J Liu… - Journal of Cleaner …, 2023 - Elsevier
Energy flow analysis is one of the most effective methods for assessing and improving
vehicle efficiency. It can provide the most effective support for the development and …

[HTML][HTML] A dynamic recurrent neural network for predicting higher heating value of biomass

B Aghel, SI Yahya, A Rezaei, F Alobaid - International Journal of …, 2023 - mdpi.com
The higher heating value (HHV) is the main property showing the energy amount of biomass
samples. Several linear correlations based on either the proximate or the ultimate analysis …