Yaw Stability Control of 4WD Vehicles Based on Model Predictive Torque Vectoring with Physical Constraints
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12239-019-0086-8.pdf
Reference9 articles.
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2. Goggia, T., Sorniotti, A., Novellis, L. D., Ferrara, A., Gruber, P., Theunissen, J., Steenbeke, D., Knauder, B. and Zehetner, J. (2015). Integral sliding mode for the torque-vectoring control of fully electric vehicles: Theoretical design and experimental assessment. IEEE Trans. Vehicular Technology 64, 5, 1701–1715.
3. Kasinathan, D., Kasaiezadeh, A., Wong, A., Khajepour, A., Chen, S. K. and Litkouhi, B. (2016). An optimal torque vectoring control for vehicle applications via real-time constraints. IEEE Trans. Vehicular Technology 65, 6, 4368–4378.
4. Koehler, S., Viehl, A., Bringmann, O. and Rosenstiel, W. (2017). Energy-efficiency optimization of torque vectoring control for battery electric vehicles. IEEE Intelligent Transportation Systems Magazine 9, 3, 59–74.
5. Novellis, L. D., Sorniotti, A. and Gruber, P. (2014a). Wheel torque distribution criteria for electric vehicles with torque-vectoring differentials. IEEE Trans. Vehicular Technology 63, 4, 1593–1602.
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