LAPSE:2018.1080
Published Article
LAPSE:2018.1080
Modelling, Testing and Analysis of a Regenerative Hydraulic Shock Absorber System
Ruichen Wang, Fengshou Gu, Robert Cattley, Andrew D. Ball
November 27, 2018
To improve vehicle fuel economy whilst enhancing road handling and ride comfort, power generating suspension systems have recently attracted increased attention in automotive engineering. This paper presents our study of a regenerative hydraulic shock absorber system which converts the oscillatory motion of a vehicle suspension into unidirectional rotary motion of a generator. Firstly a model which takes into account the influences of the dynamics of hydraulic flow, rotational motion and power regeneration is developed. Thereafter the model parameters of fluid bulk modulus, motor efficiencies, viscous friction torque, and voltage and torque constant coefficients are determined based on modelling and experimental studies of a prototype system. The model is then validated under different input excitations and load resistances, obtaining results which show good agreement between prediction and measurement. In particular, the system using piston-rod dimensions of 50⁻30 mm achieves recoverable power of 260 W with an efficiency of around 40% under sinusoidal excitation of 1 Hz frequency and 25 mm amplitude when the accumulator capacity is set to 0.32 L with the load resistance 20 Ω. It is then shown that the appropriate damping characteristics required from a shock absorber in a heavy-haulage vehicle can be met by using variable load resistances and accumulator capacities in a device akin to the prototype. The validated model paves the way for further system optimisation towards maximising the performance of regeneration, ride comfort and handling.
Keywords
Modelling, parameter identification, power regeneration, shock absorber, suspension
Suggested Citation
Wang R, Gu F, Cattley R, Ball AD. Modelling, Testing and Analysis of a Regenerative Hydraulic Shock Absorber System. (2018). LAPSE:2018.1080
Author Affiliations
Wang R: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Gu F: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK [ORCID]
Cattley R: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Ball AD: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK [ORCID]
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E386
Year
2016
Publication Date
2016-05-19
Published Version
ISSN
1996-1073
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PII: en9050386, Publication Type: Journal Article
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LAPSE:2018.1080
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doi:10.3390/en9050386
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Nov 27, 2018
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Nov 27, 2018
 
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Calvin Tsay
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