Ma Longhua Ph. D. Degree In Control Science And Engineering From Zhejiang University. (Zhejiang University Hangzhou China) - Application Of Artificial Intelligence In Hybrid Electric Vehicle Energy Management - Paperback

Binding: Paperback
Description: Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state of the art in hybrid electric vehicle system modeling and management. With a focus on learning - based energy management strategies this book provides detailed methods mathematical models and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle. This book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling and then introduces several artificial intelligence based energy management strategies of HEV systems including those based on fuzzy control with driving pattern recognition multiobjective optimization fuzzy Q - learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies this book also introduces State of Charge and State of Health prediction methods and real - time driving pattern recognition. For each application the detailed experimental process program code experimental results and algorithm performance evaluation are provided. Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management is a valuable reference for anyone involved in the modeling and management of hybrid electric vehicles and will be of interest to graduate students researchers and professionals working on HE Vs in the fields of energy electrical and automotive engineering.
Title: Application Of Artificial Intelligence In Hybrid Electric Vehicle Energy Management
Author(s): Ma Longhua Ph. D. Degree In Control Science And Engineering From Zhejiang University. (Zhejiang University Hangzhou China)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443131899
Pages: 346 Pages
Publication Date: 5/30/2024
Category: The Environment