Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, by Thomas J. Böhme, Benjamin Frank

By Thomas J. Böhme, Benjamin Frank

This booklet assembles new equipment displaying the automobile engineer for the 1st time how hybrid car configurations should be modeled as platforms with discrete and non-stop controls. those hybrid platforms describe obviously and compactly the networks of embedded structures which use components reminiscent of integrators, hysteresis, state-machines and logical principles to explain the evolution of continuing and discrete dynamics and come up necessarily while modeling hybrid electrical cars. they could throw mild on platforms which could rather be too complicated or recondite.
Hybrid structures, optimum keep watch over and Hybrid Vehicles exhibits the reader how one can formulate and clear up keep an eye on difficulties which fulfill a number of targets that could be arbitrary and intricate with contradictory impacts on gas intake, emissions and drivability. The textual content introduces commercial engineers, postgraduates and researchers to the speculation of hybrid optimum keep watch over difficulties. a chain of novel algorithmic advancements offers instruments for fixing engineering difficulties of starting to be complexity within the box of hybrid vehicles.
Important themes of genuine relevance hardly ever present in textual content books and learn publications—switching bills, sensitivity of discrete judgements and there effect on gasoline reductions, etc.—are mentioned and supported with useful functions. those display the contribution of optimum hybrid keep an eye on in predictive power administration, complicated powertrain calibration, and the optimization of car configuration with admire to gas economic climate, lowest emissions and smoothest drivability. Numerical concerns corresponding to computing assets, simplifications and balance are handled to let readers to evaluate such complicated structures. to aid business engineers and bosses with undertaking decision-making, recommendations for plenty of very important difficulties in hybrid car keep watch over are supplied when it comes to standards, merits and risks.

Show description

Read or Download Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, Methods and Applications PDF

Best robotics & automation books

Parallel Robots

Parallel robots are closed-loop mechanisms offering first-class performances when it comes to accuracy, tension and skill to control huge rather a lot. Parallel robots were utilized in a lot of purposes starting from astronomy to flight simulators and have gotten more and more renowned within the box of machine-tool undefined.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

The current publication is dedicated to difficulties of variation of man-made neural networks to powerful fault analysis schemes. It provides neural networks-based modelling and estimation recommendations used for designing powerful fault analysis schemes for non-linear dynamic structures. part of the e-book makes a speciality of primary matters equivalent to architectures of dynamic neural networks, equipment for designing of neural networks and fault prognosis schemes in addition to the significance of robustness.

Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second Edition

Greater than a decade in the past, world-renowned keep an eye on structures authority Frank L. Lewis brought what might develop into a customary textbook on estimation, less than the identify optimum Estimation, utilized in best universities during the international. The time has come for a brand new version of this vintage textual content, and Lewis enlisted assistance from complete specialists to convey the ebook thoroughly modern with the estimation equipment riding present day high-performance structures.

Extra info for Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, Methods and Applications

Example text

X(t) ∈ R Nx is a vector of continuous-valued states that assumes real values and is called for short continuous-valued states. q(·) is called discrete state and is defined on a finite set of values q(t) ∈ {1, 2, . }. z(t) ∈ R Nz is a fictitious output vector that is used to express design specifications. The general process GP(·) represents the (modeled or real) vehicle and contains many different information, for instance • references specify the set points of the control system; • disturbances may be unknown a priori.

This goal is called low-carbon electricity. Actions to improve the tank-to-wheel conversion are well researched, including increase of average engine peak efficiency, increase of mean pressure when engine is on, increase of electric motor/generator efficiency, and so on. The arrangement of the components using an appropriate powertrain plays also an important role and is still a demanding topic. PHEVs are a potentially important technology for reducing the fuel consumption and CO2 emissions because they can run on electricity for a certain distance after each recharge, depending on their battery’s energy storage capacity— expected to be typically between 20 and 80 km.

Measurable or observable examples are road slope and curves, road friction, traffic flow; • parameters are time independent. They influence the vehicle design and consequently the efficiency of the energy conversion for each energy converter in the system. Examples are vehicle mass, aggregated vehicle inertia, wheel radius, rolling coefficient, air drag coefficient, maximum vehicle cross section area, efficiency of the power converters, efficiency of the power source, efficiency of the power grid, and so forth; • continuous-valued states represent measurable or observable operating conditions of continuously acting physical units.

Download PDF sample

Rated 4.70 of 5 – based on 6 votes