📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries

First Author: Li X

Attributed to: Intelligent Grid Interfaced Vehicle Eco-charging (iGIVE) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-981-10-6364-0_39

Publication URI: http://dx.doi.org/10.1007/978-981-10-6364-0_39

Type: Book Chapter

Book Title: Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III (2017)

Page Reference: 386-395