Ahmed, Abdussalam Ali and Alsharif, Abdulgader and Triwiyanto, Triwiyanto and Mohamed Khaleel, Mohamed Khaleel and Tan, Chee Wei and Ayop, Razman (2022) Using of neural network-based controller to obtain the effect of hub motors weight on electric vehicle ride comfort. In: 2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2022, 23 - 25 May 2022, Sabratha, Libya.
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Official URL: http://dx.doi.org/10.1109/MI-STA54861.2022.9837608
Abstract
Hub motor technology has piqued researchers' interest in now a days on account of the multiple benefits it provides. Nevertheless, because the straight connection of the hub motor to the wheels can upshot in developing the vehicle's unsprung weight, this increase in unsprung weight has become one of the important studies in the field of electric vehicles. In this article, a quarter car suspension system was investigated to see how the weight of the hub motor affected the car's performance, passenger comfort, and road holding, then the results compared with the use of standard wheels. In this work, one of the well-known control methods was used, which is the Neural Network-Based Control.The simulation results showed that the increase in wheel mass due to the addition of a hub motor had a small negative effect on the performance of the car suspension system.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Electric vehicle, Hub motor, Neural Network, Ride comfort, Road holding, Suspension system |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 98642 |
| Deposited By: | Widya Wahid |
| Deposited On: | 25 Jan 2023 09:49 |
| Last Modified: | 25 Jan 2023 09:49 |
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