State of the art and trends in electric and hybrid electric vehicles
Electric and hybrid electric vehicles (EV/HEV) are promising solutions for fossil fuel
conservation and pollution reduction for a safe environment and sustainable transportation …
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
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 …
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
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) …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
samples. Several linear correlations based on either the proximate or the ultimate analysis …