Optimal energy management strategies for hybrid electric vehicles : A recent survey of machine learning approaches
Hybrid Electric Vehicles (HEVs) have emerged as a viable option for reducing pollution and attaining fuel savings in addition to reducing emissions. The effectiveness of HEVs heavily relies on the energy management strategies (EMSs) employed, as it directly impacts vehicle fuel consumption. Developi...
Saved in:
Main Authors: | Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Molla, Md Mamun, Muhammad Ikram, Mohd Rashid |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/41245/1/Optimal%20energy%20management%20strategies%20for%20hybrid%20electric%20vehicles.pdf http://umpir.ump.edu.my/id/eprint/41245/ https://doi.org/10.1016/j.jer.2024.01.016 https://doi.org/10.1016/j.jer.2024.01.016 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metaheuristics algorithms to identify nonlinear Hammerstein model: A decade survey
by: Jui, Julakha Jahan, et al.
Published: (2022) -
A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
by: Jui, Julakha Jahan, et al.
Published: (2021) -
Random search in energy management strategy (EMS) for hybrid electric vehicles
by: Muhammad Syahmi, Ghazali, et al.
Published: (2018) -
Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
by: Muhammad Ikram, Mohd Rashid, et al.
Published: (2019) -
Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
by: Muhammad Ikram, Mohd Rashid, et al.
Published: (2019)