Abstract
In this paper, a multi-objective optimization process is used to design and optimize a semi-active hybrid electromagnetic suspension system. To control the performance of the vehicle, the magnetorheological (MR) damper modeled by Bouc–Wen model is utilized in semi-active suspension that its energy is supplied from harvested energy by electromagnetic generator. The performance of the suspension system is evaluated by ride comfort, road holding and absolute regenerated power criteria. A two-degree of freedom (2-DOF) quarter car model included semi-active suspension system and electromagnetic generator is used to analyze the system. To improve the performance of the vehicle, the genetic algorithm (GA) is used to solve the multi-parameter optimization problem. The Pareto front results obtained from GA show that the ride comfort and handling stability are two conflicting design criteria. To compare the optimized cases with the not-optimized suspension system the response of the system in time and frequency domains is employed. The results show that for the overall optimized case the absolute regenerative power and ride comfort can be improved significantly compared with the not-optimized case. Also, according to the frequency responses, only about the first natural frequency of the vehicle body, the ride comfort quality decreases for the overall optimized case.
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References
Gillespie TD (2021) Fundamentals of vehicle dynamics, society of automotive engineers (SAE), revised edition, USA
Zhang Y, Chen H, Guo K, Zhang X, Li SE (2017) Electro-hydraulic damper for energy harvesting suspension: modeling, prototyping and experimental validation. Appl Energy 199:1–12
Abdelkareema MAA, Xu L, Ahmed Ali MK, Elagouz A, Mi J, Guo S, Liu Y, Zuo L (2018) Vibration energy harvesting in automotive suspension system: a detailed review. Appl Energy 229:672–699
Lafarge B, Grondel S, Delebarre C, Cattan E (2018) A validated simulation of energy harvesting with piezoelectric cantilever beams on a vehicle suspension using bond graph approach. Mechatronics 53:202–214
Kim JH, Shin YJ, Chun YD, Kim JH (2018) Design of 100W regenerative vehicle suspension to harvest energy from road surfaces. Int J Precis Eng Manuf 19:1089–1096
Abdelkareema MAA, Xu L, Ahmed Ali MK, El-Daly ABM, Hassan MA, Elagouz A, Bo Y (2019) Analysis of the prospective vibrational energy harvesting of heavy duty truck suspensions: a simulation approach. Energy 173:332–351
Li S, Xu J, Pu X, Tao T, Gao H, Mei X (2019) Energy-harvesting variable/constant damping suspension system with motor based electromagnetic damper. Energy 89:1–16
Zhang R, Zhao L, Qiu X, Zhang H, Wang X (2020) A comprehensive comparison of the vehicle vibration energy harvesting abilities of the regenerative shock absorbers predicted by the quarter, half and full vehicle suspension system models. Appl Energy 272:115–180
Genovese A, Strano S, Terzo M (2020) Design and multi-physics optimization of an energy harvesting system integrated in a pneumatic suspension. Mechatronics 69:1–14
Tavares R, Ruderman M (2020) Energy harvesting using piezoelectric transducers for suspension systems. Mechatronics 65:1–16
Guntur HL, Hendrowati W, Syuhri SNH (2020) Designing hydro-magneto-electric regenerative shock absorber for vehicle suspension considering conventional-viscous shock absorber performance. J Mech Sci Technol 34:55–67
Lopes MV, Eckert JJ, Martins TS, Santos AA Jr (2020) Optimizing strain energy extraction from multi-beam piezoelectric devices for heavy haul freight cars. J Braz Soc Mech Sci Eng 42:59–71
Lopes MV, Eckert JJ, Martins TS, Santos AA Jr (2021) Multi-objective optimization of piezoelectric vibrational energy harvester orthogonal spirals for ore freight cars. J Braz Soc Mech Sci Eng 43:295–308
Taghavifar H (2021) A novel energy harvesting approach for hybrid electromagnetic-based suspension system of off-road vehicles considering terrain deformability. Mech Syst Signal Process 146:106–117
Liu J, Liu J, Zhang X, Liu B (2021) Transmission and energy-harvesting study for a novel active suspension with simplified 2-DOF multi-link mechanism. Mech Mach Theory 160:105–114
Touairi S, Mabrouki M (2021) Control and modelling evaluation of a piezoelectric harvester system. Int J Dyn Control 9:1559–1575
Pepe G, Doria A, Roveri N, Carcaterra A (2022) Vibration energy harvesting for cars: semi-active piezo controllers. Arch Appl Mech 12:1–23
Ribeiro R, Asadi E, Khamesee MB et al (2014) Hybrid variable damping control: design, simulation and optimization. Microsyst Technol 20:1723–1732
Spencer BF, Dyke SJ, Sain MK, Carlson JD (1997) Phenomenological model for magnetorheological dampers. J Eng Mech 123:230–238
ISO 8606 (2016) Mechanical vibration—Road surface profiles—Reporting of measured data. Geneva, Switzerland. International Standards Organization
ISO 2631-1 (1997) Mechanical vibration and shock–evaluation of human exposure to whole body vibration. Part 1: General Requirements. Geneva, Switzerland. International Standards Organization
Rao SS (2009) Engineering optimization: Theory and practice, 4th edn. Wiley, New Jersey
Liao WH, Lai CY (2002) Harmonic analysis of a magnetorheological damper for vibration control. Smart Mater Struct Lab 6:682–693
Ataei M, Asadi E, Goodarzi A, Khajepour A, Behrad KM (2017) Multi-objective optimization of a hybrid electromagnetic suspension system for ride comfort, road holding and regenerated power. J Vib Control 23:782–793
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Zare, H., Jalili, M.M. & Fazel, M.R. Multiobjective optimization for semi-active electromagnetic vehicle suspensions. J Braz. Soc. Mech. Sci. Eng. 45, 419 (2023). https://doi.org/10.1007/s40430-023-04347-y
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DOI: https://doi.org/10.1007/s40430-023-04347-y