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Advanced Vehicle Calibration

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Hybrid Systems, Optimal Control and Hybrid Vehicles

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

In this chapter, a set of optimal control problems are formulated and the appropriate algorithms described in this book will be applied to their solution. Results are then compared and the applicability of each algorithm is discussed. Yet, obtaining information for the calibration and functional design of energy management from the solution of an optimal control problem is a rather heuristic and cumbersome process and it is rather unlikely that a satisfying calibration will be obtained in a reasonable time span. Also, this process does not exploit the full potential of the underlying theory. With some further assumptions that have only minor effects on the quality of the solution, results from the optimal control problem solution can be used directly to obtain parameters and lookup tables for rule-based energy management, which dramatically facilitates the calibration process and improves the quality of the results obtained.

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Authors and Affiliations

  1. IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Gifhorn, Germany

    Thomas J. Böhme & Benjamin Frank

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  1. Thomas J. Böhme
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  2. Benjamin Frank
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Correspondence to Thomas J. Böhme .

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Böhme, T.J., Frank, B. (2017). Advanced Vehicle Calibration. In: Hybrid Systems, Optimal Control and Hybrid Vehicles. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-51317-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-51317-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51315-7

  • Online ISBN: 978-3-319-51317-1

  • eBook Packages: EngineeringEngineering (R0)

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