hybrid electric vehicles -凯发k8网页登录
learn about developing hybrid electric vehicle (hev) systems using matlab® and simulink®. explore motor control design, and see how to use equivalent circuits for representing the dynamic behavior of battery cells. explore battery pack electro-thermal modeling and battery thermal management system design. you will also learn about modeling and simulating hev systems, creating plant models, developing control systems, and optimizing your models.
identify core pieces of a field-oriented controller in a simulink model, and learn how to autotune pi controller gains. distinguish between dynamic decoupling control and flux weakening control.
modeling batteries using simulink and simscape learn about equivalent circuits and why you’d want to use them. use equivalent circuits to represent the dynamic behavior of a battery cell.
identify the challenges associated with hev design and with architecture selection. understand energy consumption and performance estimates over different drive cycles and identify the impact of component selection.
learn about different methods for creating hev component models. see how powertrain blockset and simscape tools can be used for hev modeling, and learn best practices for creating new plant models.
get an overview of hev control systems and the concept of energy management. understand control algorithm implementation in simulink and stateflow, test your controller, and learn best practices.
get an introduction to optimization and learn about matlab and simulink optimization tools. simultaneously optimize control and component parameters. find a common set of control parameters for various driving conditions.
learn about battery management system tasks. see how simulink can model a physical plant and the controller for a battery pack. identify how a nonlinear observer block from the controls library can keep track of the state of charge of a cell.
explore the components of a battery thermal management system for a small 4-passenger ev. examine a simscape model for this system, and use the model to diagnose and correct a problem with the control algorithm and investigate energy usage.