R. Valentina, A. Viehl, O. Bringmann, and W. Rosenstiel, HVAC system modelling for range prediction of Electric Vehicles, Proceedings of the Intelligent Vehicles Symposium, pp.8-11, 2014.

C. Blasco, J. Monreal, I. Benitez, and A. Lluna, Modelling and PID control of HVACsystem according to energy efficiency and comfort criteria, Sustainability inEnergy and Buildings. Smart Innovation, Systems and Technologies, vol.12, 2012.

C. Chiu, N. Tsai, and C. Lin, Near-optimal order-reduced control for A/C (air-conditioning) system of EVs (electric vehicles), Energy, vol.66, pp.342-53, 2014.

E. Semsar, M. J. Yazdanpanah, and C. Lucas, Nonlinear Control and Disturbance Decoupling of an HVAC System via Feedback Linearization and Back-Stepping, Proceedings of the 2003 IEEE Conference on Control Applications (CCA 2003), pp.646-650, 2003.

Z. Huaguang and L. Cai, Decentralized nonlinear adaptive control of an HVAC system, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev, vol.32, pp.493-498, 2002.

A. Beghi, L. Cecchinato, M. Rampazzo, and F. Simmini, Load forecasting for the efficient energy management of HVAC systems, Proceedings of the 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET), pp.1-6, 2010.

P. S. Curtiss, Examples of Neural Networks Used for Building System Control and Energy Management, Proceedings of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Annual Meeting, 1997.

H. Khayyam, A. Kouzani, and E. Hu, Coordinated energy management of vehicle air conditioning system, The Technical Writer's Handbook. Mill Valley, vol.31, pp.750-764, 1989.

J. Baek, E. Kim, and M. Park, Adaptive Fuzzy Output Feedback Control for the Nonlinear Heating, Ventilating, and Air Conditioning System, Proceedings of the 23rd International Technical Conference on Circuits/Systems, Computers and Communications, pp.1477-1480, 2008.

Y. Farzaneh and A. A. Tootoonchi, Intelligent Control of Thermal Comfort in Automobile, IEEE Cybernetics and Intelligent Systems, pp.21-24, 2008.

H. Khayyam, S. Nahavandi, and E. Hu, Intelligent energy management control of vehicle air conditioning via look-ahead system, J]. Applied Thermal Engineering, vol.16, pp.3147-3160, 2011.

W. Huang and H. N. Lam, Using genetic algorithms to optimize controller parameters for HVAC systems, Energy Build, vol.26, pp.277-282, 1997.

R. Alcala, J. M. Benitez, J. Casillas, O. Cordon, and R. Perez, Fuzzy control of HVAC systems optimized by genetic algorithms, Appl. Intell, vol.18, pp.155-177, 2003.

M. Busl, T. Sattelmayer, and W. Polifke, Design of an Energy-Efficient Climate Control Algorithm for Electric Cars, 2011.

F. Oldewurtel, A. Parisio, C. N. Jones, D. Gyalistras, M. Gwerder et al., Use of model predictive control and weather forecasts for energy efficient building climate control, Energy Build, vol.45, pp.15-27, 2012.

H. Yonghong, L. Nianping, and Y. Yixun, Fuzzy model predictive control for a comfort air-conditioning system, Proceeding of the 2006 IEEE International Conference on Automation Science and Engineering, pp.530-533, 2006.

M. Razi, M. Farrokhi, and M. H. Saeidi, Neuro-predictive control for automotive air conditioning system, ICEIS Proc. Sixth Int. Conf. Enterp. Inf. Syst, pp.1-6, 2006.

J. Mei and X. Xia, Energy-efficient predictive control of indoor thermal comfort and air quality in a direct expansion air conditioning system, Applied Energy, vol.195, pp.439-452, 2017.


H. Gongsheng, X. Shengwei, and . Xinhua, A robust model predictive control strategy for improving the control performance of air-conditioning systems, Energy Conversion and Management, vol.50, pp.2650-2658, 2009.

B. Favre and B. Peuportier, Application of dynamic programming to study load shifting in buildings, Energy Build, vol.82, pp.57-64, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01299719

R. H. Howell, . Sauer, H. J. Jr, and W. J. Coad, Principles of Heating, Ventilating, and Air Conditioning, 1998.

, Electrical Vehicle Design and Modeling, Electric Vehicles -Modelling and Simulations, 2011.

F. Salem, Modeling and control solutions for electric vehicles, European Scientific Journal, vol.9, issue.15, pp.221-240, 2013.