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The longitudinal dynamics control is an essential task of vehicle dynamics control. In present, it is usually applied by adjusting the slip ratio of driving wheels to achieve satisfactory performances both in stability and accelerating ability. In order to improve its performances, the coordination of different subsystems such as engine, transmission and braking system has to be considered. In addition, the proposed algorithms usually adopt the threshold methods based on less road condition information for simpleness and quick response, which cannot achieve optimal performance on various road conditions. In this paper, an integrated longitudinal vehicle dynamics control algorithm with tire/road friction estimation was proposed. First, a road identification algorithm was designed to estimate tire forces of driving wheels and the friction coefficient by the method of Kalman Filter and Recursive Least Squares (RLS).

Nowadays, the endurance mileage of electric vehicle is commonly short. For the purpose of enhancing the endurance mileage of 4WD electric vehicles, this paper proposes a new control strategy based on the generation efficiency of in-wheel motors. When the brake strength is low, the strategy defines the torque on which the motor has the highest generate efficiency as the upper limit of the braking torque of the front axle. What's more, the proportion of mechanical braking force is reduced. Because of these, the vehicle has a higher generation power. The simulation model is built up by using Matlab/Simulink and CarSim software, and the strategy is simulated under several driving cycles. The result shows that, comparing with the two traditional braking force distribution strategies, the new strategy can obviously improve the regenerative efficiency.