Study on Braking Energy Recovery of Four Wheel Drive Electric Vehicle Based on Driving Intention Recognition
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To judge the driver’s driving intention can effectively improve the car braking energy recovery. Aiming at the problem of braking energy recovery of four wheel drives electric vehicle, combined with the main restrictive conditions of ECE regulations, motor characteristics and battery SOC, a braking force distribution strategy for different braking intention is established. The MATLAB/ Simulink platform is used for modeling and simulation to verify the effectiveness of the braking energy recovery strategy, and verify the compliance of the braking strategy through the braking distance under the initial braking speed specified in the national standard. The results show that the fuzzy recognition model can accurately identify the various brake driving intentions, according to different driving intention under the brake, braking force distribution strategy are established, which is effective in the initial braking speed under different braking distance is also in line with national standards.
[1] Minho Lee,et al. Driver's lane-change intent identification based on pupillary variation , 2014, 2014 IEEE International Conference on Consumer Electronics (ICCE).
[2] Taehyun Shim,et al. Independent control of all-wheel-drive torque distribution , 2006 .
[3] Masao Nagai,et al. Traction control of electric vehicles considering vehicle stability , 2000, 6th International Workshop on Advanced Motion Control. Proceedings (Cat. No.00TH8494).