Fuel Economy and Stability Enhancement of the Hybrid Vehicles by Using Electrical Machines on Non-Driven Wheels
Commenced in January 2007
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Fuel Economy and Stability Enhancement of the Hybrid Vehicles by Using Electrical Machines on Non-Driven Wheels

Authors: P. Naderi, S.M.T. Bathaee, R. Hoseinnezhad, R. Chini


Using electrical machine in conventional vehicles, also called hybrid vehicles, has become a promising control scheme that enables some manners for fuel economy and driver assist for better stability. In this paper, vehicle stability control, fuel economy and Driving/Regeneration braking for a 4WD hybrid vehicle is investigated by using an electrical machine on each non-driven wheels. In front wheels driven vehicles, fuel economy and regenerative braking can be obtained by summing torques applied on rear wheels. On the other hand, unequal torques applied to rear wheels provides enhanced safety and path correction in steering. In this paper, a model with fourteen degrees of freedom is considered for vehicle body, tires and, suspension systems. Thereafter, powertrain subsystems are modeled. Considering an electrical machine on each rear wheel, a fuzzy controller is designed for each driving, braking, and stability conditions. Another fuzzy controller recognizes the vehicle requirements between the driving/regeneration and stability modes. Intelligent vehicle control to multi objective operation and forward simulation are the paper advantages. For reaching to these aims, power management control and yaw moment control will be done by three fuzzy controllers. Also, the above mentioned goals are weighted by another fuzzy sub-controller base on vehicle dynamic. Finally, Simulations performed in MATLAB/SIMULINK environment show that the proposed structure can enhance the vehicle performance in different modes effectively.

Keywords: Hybrid, pitch, roll, regeneration, yaw.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335174

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[1] A.Sciarretta, M.Back, L.Guzzella, "Optimal Control of Parallel Hybrid Electric Vehicle", IEEE Transaction on control system Technology. Vol. 12. No. 3. May 2004
[2] S.Delpart, J.Lauber, T.Marie, J.Rimaux, "Control of a Parallel Hybrid Powertrain Optimal Control", IEEE Transaction on Vehicular Technology. Vol. 53. No. 3. May 2004
[3] R.I.Davis, R.D.Lorenz, " Engine Torque Ripple Cancellation with an Integrated Starter Alternator in a Hybrid Electric Vehicle: Implementation and Control" , IEEE conference, 2002, p. 2016-2021.
[4] J.V. Mierlo, P.V.D.Bossche, G.Maggetto, " Models of energy sources for EV and HEV:fuel cells, batteries ultracapacitors, flywheels and enginegenerators" Elsevier, Jornal of power sources, 128, 2004,p. 76-89.
[5] F.Tahami, R.Kazemi, S.Farhangi, " A Novel Driver Assist Stability System for All Wheels drive Electric Vehicles", IEEE Transaction on Vehicular Technology, Vol. 52, No.3, May 2003.
[6] F.Tahami, R.Kazemi, S.Farhangi, " Fuzzy Based Stability Enhancement System for Four-Motor-Wheel Electric Vehicles". SAE 2002 Transactions.
[7] F.Tahami, R.Kazemi, S.Farhangi. " Direct Yaw Control of an All-Wheel- Drive EV Based on Fuzzy Logic and Neural Networks". 2003-01-0956 SAE World Congress.
[8] F.Tahami, R.Kazemi, S.Farhangi. " Stability Assist System for a two- Motor-Drive Electric Vehicle using Fuzzy Logic" 2003-01-1285 SAE World Congress.
[9] D.Kim, S.Hwang, H.Kim, " Rear Motor Control for 4WD Hybrid ElectricVehicle Stability", IEEE Conference, 2005, p. 86-91.
[10] H.Fujimoto, A.Tsumasaka, T.Noguchi, " Direct Yaw-moment Control of Electric Vehicle Based on Cornering Stiffness Estimation". IEEE conference, 2005. p. 2626-2631
[11] H.Fujimoto, K.Fujii, N.Takahashi, " Traction and Yaw-rate Control of Electric Vehicle with Slip-ratio and Cornering Stiffness Estimation". American Control Conference, july 2007. p. 5742-5747.
[12] M.Ouladisine, H.Shrain, L.FDridman, H.Noura, " Vehicle Parameters Estimation and Stability Enhancement using the Principle of Sliding Mode", American Control Conference, july 2007. p. 5224-5229.
[13] S.Oncu, S.Karaman, L.Guvence, " Robust Yaw Stability Controller Design for a Light Commercial Vehicle Using a Hardware in the Loop Steering Test Rig". IEEE Intelligent Vehicle Symposium, June 2007, p. 852-859.
[14] Weidong Xiang, Paul C. Richardson, Chenming Zhao, and Syed Mohammad, "Automobile Brake-by-Wire Control System Design and Analysis", IEEE Transaction on Vehicular Technology, Vol. 57, No.1, January 2008.
[15] ADVISOR Guide , Advisor, Vehicle simulation program
[16] Peyman.Naderi, Ali. Farhadi, S.M.Tahghi.Bathaee,"Forward Simulation of parallel hybrid vehicle and fuzzy controller design for Driving/Regeneration propose", pp,595-602, Waset Conference, Venice, October 2008, Vol.34.