https://orcid.org/0000-0001-6569-6174
References
- Wang J, Wang Q, Jin L. Modeling and simulation studies on differential drive assisted steering for EV with four-wheel-independent-drive. Proceedings of the 2008 IEEE Vehicle Power and Propulsion Conference (VPPC '08); Harbin. IEEE; 2008. p. 682–689.
- Polmans K, Stracke S. Torque vectoring as redundant steering for automated driving or steer-by-wire. Proceedings of the 5th International Munich Chassis Symposium; Munich. Springer Vieweg; 2014. p. 163–177.
- Kuslits M, Bestle D. Modelling and control of a new differential steering concept. Vehicle Syst Dyn. 2019;57:520–542. doi: https://doi.org/10.1080/00423114.2018.1473616
- Zhao W, Xu X, Wang C. Multidiscipline collaborative optimization of differential steering system of electric vehicle with motorized wheels. Sci China Technol Sci. 2012;55:3462–3468. doi: https://doi.org/10.1007/s11431-012-5048-6
- Zhao W, Yang Z, Wang C. Multidisciplinary hybrid hierarchical collaborative optimization of electric wheel vehicle chassis integrated system based on driver's feel. Struct Multidiscipl Optim. 2018;57:1129–1147. doi: https://doi.org/10.1007/s00158-017-1801-6
- Zhao W, Yang Z, Wang C. Multi-objective optimization of chassis integrated system for electric wheel vehicle. Proc Inst Mech Eng, Part C: J Mech Eng Sci. 2019;233:7–17. doi: https://doi.org/10.1177/0954406218756444
- Li Q, Yu X, Zhang H, et al. Study on differential assist steering system with double in-wheel motors with intelligent controller. Math Probl Eng. 2015;2015:910230.
- Busch J, Bestle D. Optimisation of lateral car dynamics taking into account parameter uncertainties. Vehicle Syst Dyn. 2014;52:166–185. doi: https://doi.org/10.1080/00423114.2013.868006
- Riekert P, Schunck TE. Zur Fahrmechanik des gummibereiften Kraftfahrzeugs. Ingenieur-Archiv. 1940;11:210–224. doi: https://doi.org/10.1007/BF02086921
- Pacejka HB. Tyre and vehicle dynamics. Oxford: Butterworth-Heinemann; 2006.
- Hirschberg W, Rill G, Weinfurter H. Tire model TMeasy. Vehicle Syst Dyn. 2007;45:101–119. doi: https://doi.org/10.1080/00423110701776284
- Kuslits M, Bestle D. Symbolic linearized equations for nonholonomic multibody systems with closed-loop kinematics. Proceedings of the 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control; Quebec. ASME; 2018. Paper No. DETC2018-85823.
- Ogata K. Modern control engineering. Upper Saddle River (NJ): Prentice Hall; 2010.
- Bode HW. Relations between attenuation and phase in feedback amplifier design. Bell Syst Tech J. 1940;19:421–454. doi: https://doi.org/10.1002/j.1538-7305.1940.tb00839.x
- Wehbi K, Wurm A, Bestle D, et al. Automated calibration using simulation and robust design optimization improving shift and launch quality of automatic transmissions. Proceedings of the International Calibration Conference Automotive Data Analytics, Methods, DoE. Berlin: Expert-Verlag; 2017. p. 18–33.
- Venter G, Haftka R, Starnes J. Construction of response surfaces for design optimization applications. Proceedings of the 6th Symp. on Multidisciplinary Analysis and Optimization; Bellevue. AIAA; 1996. p. 548–564.
- Foresee FD, Hagan MT. Gauss-Newton approximation to Bayesian learning. Proceedings of the International Conference on Neural Networks (ICNN'97); Houston. IEEE; 1997. p. 1930–1935.
- Regis RG, Shoemaker CA. Local function approximation in evolutionary algorithms for the optimization of costly functions. IEEE Trans Evol Comput. 2004;8:490–505. doi: https://doi.org/10.1109/TEVC.2004.835247
- Deb K. Multi-objective optimization using evolutionary algorithms. New York (NY): John Wiley & Sons; 2001.