Titlebook: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles; Amir Taghavipour,Mahyar Vajedi,Nasser L.‘Azad Book 2019 Springer Nature

猛然一拉

Related Work,so investigates approaches to improve control system efficiency. The chapter concludes with a summary of the relevant literature and an overview of the significant contributions of the designed energy-optimal control system.

Foreshadow

Nonlinear Model Predictive Controloncept potentials and to satisfy the automotive requisites, as most can be defined in the form of a constrained multi-input, multi-output optimal control problem, and MPC provides approximate resolution to this class of problems [.].

accrete

Control-Relevant Parameter Estimated Strategynot as precise at capturing the principal dynamics of the main plant. As such, it is preferred that simple model parameters are projected in a manner that attains all dynamics of the plant. Nevertheless, locating the parameters required in the control-oriented model to cover all of the operating points of the plant may not be feasible.

投票

浪费物质

Amir Taghavipour,Mahyar Vajedi,Nasser L.‘AzadHelps the reader in designing procedures to develop and validate control systems.Provides practical examples leading the reader to different energy-optimal control strategies.Demonstrates how intellig

Neolithic

Advances in Industrial Controlhttp://image.papertrans.cn/i/image/469549.jpg

Brain-Imaging

Introduction,Energy and environmental issues are among the most serious concerns facing today’s society, with the automotive industry figuring prominently in the global dialogue.

DEAWL

Multi-parametric Predictive ControlThis chapter discusses the design procedure of EMS using the explicit model predictive control (eMPC) approach in order to reduce optimal control computational time. Also, a control-oriented parameter estimation method is introduced to improve the control-oriented model accuracy which leads to better performance of the eMPC controller.

Admonish

Real-Time Trip Planning Module Development and EvaluationThis chapter presents the Trip Planning module as a part of the devised energy-optimal controller. This module takes advantage of long-range trip data to optimize SOC profiles.

affect