Optimal Control of Phev: Problem Formulation

Comprehensive Formulation for the Optimal Control Of Plug-In Hybrid Electric Vehicles
Avinash Gali
December 22, 2010

Cheol W. Lee, Ph.D.
Associate Professor Industrial and Manufacturing Systems Engineering University of Michigan – Dearborn

Abstract: The objective of this study is develop a comprehensive formulation for the optimal control of Plug-In Hybrid Electric Vehicles (PHEV) considering various factors such as battery life, fuel economy, overall energy usage and emissions. Implications of various objectives, constraints, and time horizon of existing approaches will be reviewed after literature survey. An optimization problem will be formulated through integration of reviewed approaches.

Table of Contents:
  Chapter 1: Introduction Chapter 2: Literature Survey            Optimal Control for Plug-in Hybrid Electric Vehicle Applications Optimal Energy Management for a Plug-in Hybrid Electric Vehicle: Real-time controller An Optimal Control-Based Algorithm for Hybrid Electric Vehicle using Preview Route Information Model Predictive Control of a Power-split Hybrid Electric Vehicle with Combined Battery and Ultra-capacitor Energy Storage A Stochastic Model Predictive Control Approach for Series Hybrid Electric Vehicle Power Management Charge Trajectory Optimization of Plug-in Hybrid Electric Vehicles for Energy Cost Reduction and Battery Health Enhancement Ultra-capacitor Assisted Powertrains: Modeling, Control, Sizing, And The Impact On Fuel Economy Plug-in Hybrid Electric Vehicle Energy Management System Using Particle Swarm Optimization Impact of Battery Sizing on Stochastic Optimal Power Management in Plug-in Hybrid Electric Vehicles Optimization-based energy management of series hybrid vehicles considering transient behavior Chapter 3: Formulation of Optimum Control Problem      Model of PHEV Powertrain Problem Formulation Discussions

Chapter 4: Conclusion References

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Chapter 1: Introduction
In the recent years, the