By Thomas J. Böhme, Benjamin Frank

ISBN-10: 331951315X

ISBN-13: 9783319513157

ISBN-10: 3319513176

ISBN-13: 9783319513171

This e-book assembles new equipment displaying the automobile engineer for the 1st time how hybrid motor vehicle configurations may be modeled as platforms with discrete and non-stop controls. those hybrid platforms describe obviously and compactly the networks of embedded platforms which use components comparable to integrators, hysteresis, state-machines and logical ideas to explain the evolution of continuing and discrete dynamics and come up necessarily whilst modeling hybrid electrical cars. they could throw mild on platforms which can rather be too complicated or recondite.*Hybrid structures, optimum keep an eye on and Hybrid Vehicles* indicates the reader tips on how to formulate and remedy regulate difficulties which fulfill a number of targets that may be arbitrary and complicated with contradictory impacts on gas intake, emissions and drivability. The textual content introduces commercial engineers, postgraduates and researchers to the idea of hybrid optimum keep an eye on difficulties. a chain of novel algorithmic advancements presents instruments for fixing engineering difficulties of becoming complexity within the box of hybrid vehicles.

Important subject matters of actual relevance not often present in textual content books and examine publications—switching bills, sensitivity of discrete judgements and there effect on gas discounts, etc.—are mentioned and supported with sensible functions. those reveal the contribution of optimum hybrid regulate in predictive power administration, complex powertrain calibration, and the optimization of car configuration with recognize to gas economic system, lowest emissions and smoothest drivability. Numerical concerns similar to computing assets, simplifications and balance are taken care of to allow readers to evaluate such complicated structures. to aid business engineers and executives with undertaking decision-making, ideas for plenty of vital difficulties in hybrid car regulate are supplied when it comes to requisites, advantages and risks.

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

**Sample text**

Bock H, Plitt K (1984) A multiple shooting algorithm for direct solution of optimal control problems. In: Proceedings of the 9th world congress of the international federation of automatic control, vol 9 11. Boehme TJ, Held F, Schultalbers M, Lampe B (2013) Trip-based energy management for electric vehicles: an optimal control approach. Proceedings of the 2013 American control conference (ACC 2013). IEEE, Washington, pp 5998–6003 References 21 12. Boehme TJ, Schori M, Frank B, Schultalbers M, Drewelow W (2013) A predictive energy management for hybrid vehicles based on optimal control theory.

In: European control conference (ECC), 2014. IEEE, pp 2894–2901 16. Chen JS, Salman M (2005) Learning energy management strategy for hybrid electric vehicles. In: IEEE conference on vehicle power and propulsion, pp 68–73 17. Dinger A, Martin R, Mosquet X, Rabl M, Rizoulis D, Russo M, Sticher G (2010) Batteries for electric cars: challenges, opportunities, and the outlook to 2020 18. Farrokhi M, Mohebbi M (2005) Optimal fuzzy control of parallel hybrid electric vehicles. ICCAS 2005 June pp 2–5 19.

Proceedings of the 2013 American control conference (ACC 2013). IEEE, Washington, pp 5998–6003 References 21 12. Boehme TJ, Schori M, Frank B, Schultalbers M, Drewelow W (2013) A predictive energy management for hybrid vehicles based on optimal control theory. Proceedings of the 2013 American control conference (ACC 2013). IEEE, Washington, pp 6004–6009 13. Borhan HA, Vahidi A, Phillips AM, Kuang ML (2009) Predictive energy management of a power-split hybrid electric vehicle. Proceedings of the 2009 American control conference, St.

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

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