Guest Editor(s)
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- Prof. Tek Tjing Lie
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.
Website | E-mail
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- Prof. Guojie Li
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Website | E-mail
Special Issue Introduction
In the current situation of severe environmental pollution and the shortage of fossil energy, hybrid electric vehicles (HEVs) have proven to be a promising solution for environmental pollution and fuel saving. The benefits of this solution are often reflected in fuel consumption savings, which is also the challenge of developing the right energy management strategy for HEVs.
However, there are still many problems to be solved on this topic. The output performance of the hybrid power system is an essential reason for determining the life of the battery cell. The unreasonable output will affect the control characteristics of the drive system, resulting in severe consequences such as reduced life of the battery cell hybrid system. Therefore, the energy management strategy and performance optimization of the hybrid power system are the keys to ensuring the system's normal operation.
Keywords or key topics of the SI:
● Offline or Online Energy Management Strategy(EMS) Optimization Approach
● Cyber-Physical Predictive Energy Management for HEV/PHEV
● Adaptive Fuzzy Logic for Smart Energy Management in HEV/PHEV
● The Predictive EMSs Considering Dynamic Traffic Conditions with ITS
● Machine Learning based on Genetic Algorithm for HEV/PHEV
● Collaborative Optimisation between Route Planning and Energy Flow in Hybrid Powertrain
● Multi-Objectives EMSs Incorporating Battery Aging and Drivability
Submission Deadline
15 Nov 2023
Journal of Smart Environments and Green Computing
