Optimal Control of Hybrid Vehicles, 2013
Advances in Industrial Control Series

Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on the maximum principle.
Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass.
Three case studies are included in the book:
? a control strategy for a micro-hybrid power train;
? experimental results obtained with a real-time strategy implemented in a hybrid electric truck; and
? an analysis of the optimal component sizes for a hybrid power train.
Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid vehicle control or in the applications of optimal control. Practitioners working in the design of control systems for the automotive industry will also find the ideas propounded in this book of interest.

Control-oriented Modeling of Hybrid Vehicles.- Control for Hybrid Vehicles.- Numerical Solutions for Known Trajectories.- Real-time Implementable Strategies.- Case Studies.

Provides engineers in the automotive industry with practical applications of power train control for hybrid vehicles For the academic researcher, the text describes a novel solution for state-constrained optimal control problems Includes experimental results that justify the theoretical ideas presented An exposition of the state of the art in power-train control for hybrid vehicles not available elsewhere Includes supplementary material: sn.pub/extras