Skip to main content

A Simulation Study of Power Management for a Series Hydraulic Hybrid Vehicle

  • Conference paper
AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 282))

Abstract

Possessing the flexibility of engine management and regenerative braking properties, series hydraulic hybrid vehicle) has been an attractive candidate for a better fuel economy automobile. As in any hybrid power system, the presence of two or more different power sources caused many power management issues. These issues become more difficult for hydraulic hybrid technology when the hydraulic accumulator is a low energy density component. The main purpose of the development of the control strategies is to propose a better approach to coordinate multiple power sources. In this work, a model of the series hydraulic hybrid truck is established. Dynamic programming (DP) methodology is applied to estimate an optimal-benchmark solution. A rule-based control strategy is utilized to predict the fuel economy improvement of the SHHV system. The effectiveness of the proposed control strategies are figured out by simulation results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Curtis, C.: President Obama Announces New Fuel Economy Standards (July 29, 2011), http://www.whitehouse.gov/blog/2011/07/29/president-obama-announces-new-fuel-economy-standards

  2. Wu, B., Lin, C.C., Filipi, Z., Peng, H., Assanis, D.: Optimal Power Management for a Hydraulic Hybrid Delivery Truck. Vehicle Syst. Dyn. 42(1-2), 23–40 (2004)

    Article  Google Scholar 

  3. Filipi, Z., Loucas, L., Daran, B., Lin, C.-C., Yildir, U., Wu, B., Kokkolaras, M., Assanis, D., Peng, H., Papalambros, P., Stein, J., Szkubiel, D., Chapp, R.: Combined Optimization of Design and Power Management of the Hydraulic Hybrid Propulsion System for the 6x6 Medium Truck. Int. J. Heavy Veh. Syst. 11, 371–401 (2004)

    Google Scholar 

  4. Kim, Y., Filipi, Z.: Series Hydraulic Hybrid Propulsion for a Light Truck - Optimizing the Thermostatic Power Management. SAE Technical Paper 2007-24-0080 (2007)

    Google Scholar 

  5. Tavares, F., Johri, R., Salvi, A., Baseley, S.: Hydraulic Hybrid Powertrain-In-the-Loop Integration for Analyzing Real-World Fuel Economy and Emissions Improvements. SAE Technical Paper 2011-01-2275 (2011)

    Google Scholar 

  6. Kolmanovsky, I.V., Sivashankar, S.N., Sun, J.: Optimal Control-Based Powertrain Feasibility Assessment: A Software Implementation Perspective. In: ACC 2005, USA, pp. 4452–4457 (2005)

    Google Scholar 

  7. Lin, C.C., Peng, H., Grizzle, J.W.: Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck. SAE Technical Paper 2003-01-3369 (2003)

    Google Scholar 

  8. O’Keefe, M.P., Markel, T.: Dynamic Programming Applied to Investigate Energy Management Strategies for a Plug-in HEV. presented at the Conf. EVS-22, Yokohama, Japan (2006)

    Google Scholar 

  9. Kim, Y.A.: Integrated Modeling and Hardware-In-The-Loop Study for Systematic Evaluation of Hydraulic Hybrid Propulsion Options. PhD. dissertation, Dept. Mech. Eng., Michigan Univ., MI (2008)

    Google Scholar 

  10. Shan, M.: Modeling and Control Strategy for Series Hydraulic Hybrid Vehicles. PhD. dissertation, Col. Eng. Toledo Univ., OH (2009)

    Google Scholar 

  11. Lin, C.-C., Kang, J.-M., Grizzle, J.W., Peng, H.: Energy Management Strategy for a Parallel Hybrid Electric Truck. In: Proceedings of the American Control Conference, vol. 4, pp. 2878–2883 (2001)

    Google Scholar 

  12. Lin, X.K., Ivanco, A., Filipi, Z.: Optimization of Rule-Based Control Strategy for a Hydraulic-Electric Hybrid Light Urban Vehicle Based on Dynamic Programming

    Google Scholar 

  13. Sundström, O., Guzzella, L.: A Generic Dynamic Programming MATLAB Function. In: 2009 Proc. IEEE Control Appl. Intell. Control, pp. 1625–1630 (2009)

    Google Scholar 

  14. Elbert, P., Ebbesen, S., Guzzella, L.: Implementation of Dynamic Programming for n-Dimensional Optimal Control Problems with Final State Constraints. IEEE Transactions on Control Systems Technology PP(99) (2012)

    Google Scholar 

  15. Pourmovahed, A., Beachley, N.H., Fronczak, F.J.: Modeling of a Hydraulic Energy Regeneration System - Part I. Analytical Treatment. AEME Journal of Dynamic Systems, Measurement, and Control 114(1), 155–159 (1992)

    Article  MATH  Google Scholar 

  16. Vu, T.V.: Simulation and Design of Hydraulic Hybrid Vehicle. M.S thesis, Dept. Mech. and Eng. Da-yeh Univ., Changhua, Taiwan (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chih-Keng Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, CK., Vu, TV., Hung, CW. (2014). A Simulation Study of Power Management for a Series Hydraulic Hybrid Vehicle. In: Zelinka, I., Duy, V., Cha, J. (eds) AETA 2013: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41968-3_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41968-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41967-6

  • Online ISBN: 978-3-642-41968-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics