The lateral stability control of the vehicle can avoid serious traffic accidents when it had a tire blowout during the operation. This article proposes a robust nonlinear control method for controlling vehicle lateral stability after a tire blowout. To be exact, a seven degree of freedom dynamic model of vehicle with modified Dugoff tire model is established. The yaw moment of vehicle is performed by differential braking once the tire blowout occurring. As for control strategy, taking the linear two degree of freedom vehicle model as the reference, using the deviation of yaw rate and the vehicle side angle between the actual value and the reference value as the controller input parameters, the fractional calculus theory is utilized for yaw moment controller which was investigated by regulating the brake moment of blowout vehicle for improving its stability. The results of computer simulation show that the design controller of fractional PID can more effectively enhance the blowout vehicle performance stability compared with the vehicle with the non control, PID control, no matter in straight road or curve road.
This paper mainly discusses the dynamic distribution of regenerative braking system and conventional friction braking system of EV.In order to meet the requirements of vehicle braking stability and recycle the braking energy whenever possible, the paper proposes a control strategy which based on ECE regulation and I curve.Then the proposed control strategy is embedded into the simulation software ADVISOR.The result shows that the control strategy of regenerative braking the paper presented is better than ADVISOR’s own on braking energy recovery, and is especially suitable for frequent braking city conditions.
This paper briefly presents a Parallel Serial Hybrid Electric Vehicle structure combined with NAC institute, constructing a CAN Communication Network of Hybrid Electric Vehicle’s Powertrain and also defining the Communication protocol of the control Network. The Network constructed is tested on bench and prototype vehicle and by using CANstress, CANoe and some other Automotive network development tools, actual test and performance analysis have been conducted. The experiment result illustrates that the control network system arrives a high stable performance and real-time with low bus load and little error frames under high transmission speed and interference environment, and can meet requirement of HEV Powertrain of stability, real-time and accurate control. Besides that, we also constructs a Diagnostic Network, which fulfills the unified diagnostic services (UDS) defined by ISO14229.
The composition and working principles of the constructed Hybrid Electric Vehicle’s Electronic Throttle Control System are introduced. This paper presents the control strategy, and implements the Electronic Throttle Control System based on Fuzzy PID algorithm. It analyzes the resolution, react characteristics and dynamic tracking performance of the control system, and also discusses the anti-jamming measures under the automotive complex operation condition. The real vehicle test results demonstrate that this electronic throttle control system features better tracking and robustness.
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