Optimal control methods in intelligent vehicles

References

• Alrifaee, B., Jodar, J. G., & Abel, D. (2015). Decentralized predictive cruise control for energy saving in REEV using V2I information for multiple-vehicles. IFAC-PapersOnLine, 48, 320–327.
   Google Scholar
• Ambuhl, D., & Guzzella, L. (2009). Predictive reference signal generator for hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 58, 4730–4740.
   Web of Science ®Google Scholar
• Asadi, B., & Vahidi, A. (2011). Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. IEEE Transactions on Control Systems Technology, 19, 707–714.
   Web of Science ®Google Scholar
• Baumann, B. M., Washington, G., Glenn, B. C., & Rizzoni, G. (2000). Mechatronic design and control of hybrid electric vehicles. IEEE/ASME Transactions on Mechatronics, 5, 58–72.
   Web of Science ®Google Scholar
• Cao, D., Song, X., & Ahmadian, M. (2011). Editors’ perspectives: Road vehicle suspension design, dynamics, and control. Vehicle System Dynamics, 49, 3–28.
   Web of Science ®Google Scholar
• Chan, C. C. (2007). The state of the art of electric, hybrid, and fuel cell vehicles. Proceedings of the IEEE, 95, 704–718.
   Web of Science ®Google Scholar
• Chen, H., & Allgower, F. A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica, 34, 1205–1217.
   Web of Science ®Google Scholar
• Chen, H., & Scherer, C. W. (2006). Moving horizon H control with performance adaptation for constrained linear systems. Automatica, 42, 1033–1040.
   Web of Science ®Google Scholar
• Crolla, D. A., & Cao, D. (2012). The impact of hybrid and electric powertrains on vehicle dynamics, control systems and energy regeneration. Vehicle System Dynamics, 50(sup1), 95–109.
   Web of Science ®Google Scholar
• De Nunzio, G., Wit, C. C., Moulin, P., & Di Domenico, D. (2015). Eco-driving in urban traffic networks using traffic signals information. International Journal of Robust and Nonlinear Control.
   Web of Science ®Google Scholar
• Dib, W., Chasse, A., Moulin, P., Sciarretta, A., & Corde, G. (2014). Optimal energy management for an electric vehicle in eco-driving applications. Control Engineering Practice, 29, 299–307.
   Web of Science ®Google Scholar
• Eskandarian, A. (Ed.). (2012). Handbook of intelligent vehicles. London: Springer.
   Google Scholar
• Gao, B. Z., Chen, H., Sanada, K., & Hu, Y. (2011). Design of clutch-slip controller for automatic transmission using backstepping. IEEE/ASME Transactions on Mechatronics, 16, 498–508.
   Web of Science ®Google Scholar
• Guzzella, L., & Sciarretta, A. (2007). Vehicle propulsion systems (Vol. 1). Springer-Verlag Berlin Heidelberg.
   Google Scholar
• He, X., Liu, H. X., & Liu, X. (2015). Optimal vehicle speed trajectory on a signalized arterial with consideration of queue. Transportation Research Part C: Emerging Technologies, 61, 106–120.
   Web of Science ®Google Scholar
• Hofman, T., Ebbesen, S., & Guzzella, L. (2012). Topology optimization for hybrid electric vehicles with automated transmissions. IEEE Transactions on Vehicular Technology, 61, 2442–2451.
   Web of Science ®Google Scholar
• HomChaudhuri, B., Lin, R., & Pisu, P. (2016). Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads. Transportation Research Part C: Emerging Technologies, 62, 70–86.
   Web of Science ®Google Scholar
• Hrovat, D., Cairano, S. D., Tseng, H. E., & Kolmanovsky, I. V. (2012). The development of model predictive control in automotive industry: A survey. In IEEE International Conference on Control Applications (pp. 295–302).
   Google Scholar
• Johannesson, L., Pettersson, S., & Egardt, B. (2009). Predictive energy management of a 4QT series-parallel hybrid electric bus. Control Engineering Practice, 17, 1440–1453.
   Web of Science ®Google Scholar
• Langari, R., & Won, J. S. (2005). Intelligent energy management agent for a parallel hybrid vehicle-part I: System architecture and design of the driving situation identification process. IEEE Transactions on Vehicular Technology, 54, 925–934.
   Web of Science ®Google Scholar
• Lee, H. D., Koo, E. S., Sul, S. K., Kim, J. S., Kamiya, M., Ikeda, H., ... Yoshida, H. (2000). Torque control strategy for a parallel-hybrid vehicle using fuzzy logic. IEEE Industry Applications Magazine, 6, 33–38.
   Web of Science ®Google Scholar
• Lee, H. D., Sul, S. K., Cho, H. S., & Lee, J. M. (2000). Advanced gear-shifting and clutching strategy for a parallel-hybrid vehicle. IEEE Industry Applications Magazine, 6, 26–32.
   Web of Science ®Google Scholar
• Li, L., & Wang, F. Y. (2007). Advanced motion control and sensing for intelligent vehicles. Springer Science & Business Media.
   Google Scholar
• Li, L., Wen, D., Zheng, N. N., & Shen, L. C. (2012). Cognitive cars: A new frontier for ADAS research. IEEE Transactions on Intelligent Transportation Systems, 13, 395–407.
   Web of Science ®Google Scholar
• Lin, C. C., Peng, H., Grizzle, J. W., & Kang, J. M. (2003). Power management strategy for a parallel hybrid electric truck. IEEE Transactions on Control Systems Technology, 11, 839–849.
   Web of Science ®Google Scholar
• Mandava, S., Boriboonsomsin, K., & Barth, M. (2009, October). Arterial velocity planning based on traffic signal information under light traffic conditions. In 2009 12th International IEEE Conference on Intelligent Transportation Systems (pp. 1–6). IEEE.
   Google Scholar
• Kamal, M. A. S., Mukai, M., Murata, J., & Kawabe, T. (2013). Model predictive control of vehicles on urban roads for improved fuel economy. IEEE Transactions on Control Systems Technology, 21, 831–841.
   Web of Science ®Google Scholar
• Kessels, J. T., Koot, M. W., Van Den Bosch, P. P., & Kok, D. B. (2008). Online energy management for hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 57, 3428–3440.
   Web of Science ®Google Scholar
• Kim, T. S., Manzie, C., & Sharma, R. (2009, October). Model predictive control of velocity and torque split in a parallel hybrid vehicle. IEEE International Conference on Systems, Man and Cybernetics, 2009. SMC 2009 (pp. 2014–2019). IEEE.
   Google Scholar
• Ngo, V., Hofman, T., Steinbuch, M., & Serrarens, A. (2012). Optimal control of the gearshift command for hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 61, 3531–3543.
   Web of Science ®Google Scholar
• Ohtsuka, T. (2004). A continuation/GMRES method for fast computation of nonlinear receding horizon control. Automatica, 40, 563–574.
   Web of Science ®Google Scholar
• Opila, D. F., Wang, X., McGee, R., Gillespie, R. B., Cook, J. A., & Grizzle, J. W. (2012). An energy management controller to optimally trade off fuel economy and drivability for hybrid vehicles. IEEE Transactions on Control Systems Technology, 20, 1490–1505.
   Web of Science ®Google Scholar
• Pisu, P., & Rizzoni, G. (2007). A comparative study of supervisory control strategies for hybrid electric vehicles. IEEE Transactions on Control Systems Technology, 15, 506–518.
   Web of Science ®Google Scholar
• Qu, T., Chen, H., Cao, D., Guo, H., & Gao, B. (2015). Switching-based stochastic model predictive control approach for modeling driver steering skill. IEEE Transactions on Intelligent Transportation Systems, 16, 365–375.
   Web of Science ®Google Scholar
• Salmasi, F. R. (2007). Control strategies for hybrid electric vehicles: Evolution, classification, comparison, and future trends. IEEE Transactions on vehicular technology, 56, 2393–2404.
   Web of Science ®Google Scholar
• Schmied, R., Waschl, H., Quirynen, R., Diehl, M., & del Re, L. (2015). Nonlinear MPC for emission efficient cooperative adaptive cruise control. IFAC-PapersOnLine, 48, 160–165.
   Google Scholar
• Schouten, N. J., Salman, M. A., & Kheir, N. A. (2002). Fuzzy logic control for parallel hybrid vehicles. IEEE Transactions on Control Systems Technology, 10, 460–468.
   Web of Science ®Google Scholar
• Sciarretta, A., Back, M., & Guzzella, L. (2004). Optimal control of parallel hybrid electric vehicles. IEEE Transactions on Control Systems Technology, 12, 352–363.
   Web of Science ®Google Scholar
• Sorrentino, M., Rizzo, G., & Arsie, I. (2011). Analysis of a rule-based control strategy for on-board energy management of series hybrid vehicles. Control Engineering Practice, 19, 1433–1441.
   Web of Science ®Google Scholar
• Wang, F. Y. (2010). Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 11, 630–638.
   Web of Science ®Google Scholar
• Wang, J., Zhang, L., Zhang, D., & Li, K. (2013). An adaptive longitudinal driving assistance system based on driver characteristics. IEEE Transactions on Intelligent Transportation Systems, 14, 1–12.
   Web of Science ®Google Scholar
• Won, J. S., & Langari, R. (2002). Fuzzy torque distribution control for a parallel hybrid vehicle. Expert Systems, 19, 4–10.
   Web of Science ®Google Scholar
• Won, J. S., & Langari, R. (2005). Intelligent energy management agent for a parallel hybrid vehicle-part II: Torque distribution, charge sustenance strategies, and performance results. IEEE Transactions on Vehicular Technology, 54, 935–953.
   Web of Science ®Google Scholar
• Wu, G., Boriboonsomsin, K., & Barth, M. J. (2014). Development and evaluation of an intelligent energy-management strategy for plug-in hybrid electric vehicles. IEEE Transactions on Intelligent Transportation Systems, 15, 1091–1100.
   Web of Science ®Google Scholar
• Yu, S., Reble, M., Chen, H., & Allgower, F. (2014). Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control. Automatica, 50, 2269–2280.
   Web of Science ®Google Scholar
• Zhang, J., Wang, F. Y., Wang, K., Lin, W. H., Xu, X., & Chen, C. (2011). Data-driven intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 12, 1624–1639.
   Web of Science ®Google Scholar