Z
Zhile Yang
Researcher at Chinese Academy of Sciences
Publications - 168
Citations - 3114
Zhile Yang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Optimization problem. The author has an hindex of 22, co-authored 141 publications receiving 1644 citations. Previous affiliations of Zhile Yang include Fudan University & Queen's University Belfast.
Papers
More filters
Journal ArticleDOI
Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review
Zhile Yang,Kang Li,Aoife Foley +2 more
TL;DR: In this article, a review of the state-of-the-art grid scheduling methods to integrate plug-in electric vehicles are reviewed, examined and categorised based on their computational techniques.
Journal ArticleDOI
Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation
TL;DR: Numerical results of two extreme cases and several balanced charging cases demonstrate that feasible, economy-conscious battery charging management for various user demands can be achieved through suitable equilibrations among charging speed and thermal variations during charging.
Journal ArticleDOI
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
TL;DR: The purpose of this paper is to summarize the published techniques related to the multi-population methods in nature-inspired optimization algorithms and presents several interesting open problems with future research directions for multi- Population optimization methods.
Proceedings ArticleDOI
Battery modelling methods for electric vehicles - a review
TL;DR: Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented and a comprehensive review of battery modelling methods is presented.
Journal ArticleDOI
A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads
TL;DR: In this article, multiple electric vehicle charging profiles are comparatively integrated into a 24-hour load demand in an economic and environment dispatch model to solve the non-convex non-linear dispatch problems.