Hybrid Electric Vehicle Dynamic Control Implications 1

1996 ◽  
Vol 29 (1) ◽  
pp. 7915-7920
Author(s):  
Barry K. Powell
2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.


Author(s):  
Aree Wangsupphaphol ◽  
Nik Rumzi Nik Idris ◽  
Awang Jusoh ◽  
Nik Din Muhamad ◽  
Supanat Chamchuen

The paper presents a new control strategy and design for auxiliary energy source (AES) used in battery hybrid electric vehicle (BHEV) based on the acceleration power. The control strategy takes actual speed and acceleration of the vehicle and system losses into account for regulating the energy and power supply to the propulsion load. The design of AES and its dynamic control design are demonstrated. Cascade control is availed in this work in order to control the terminal voltage and current of supercapacitors (SCs). The benefits of AES in which recapture of regenerative braking energy are examined by the numerical simulation and verified by a small scale experiment. The comparison of energy consumption and DC bus voltage regulation between pure battery and battery with supercapacitors (BSCs) propulsion system declares the theoretical results and confirms the benefits of the proposed method.


Author(s):  
Joel R. Anstrom

This study expanded an existing full car dynamic model (HVOSM.VD2) to enable simulation of electric, hybrid electric, and fuel cell vehicles with integrated vehicle stability systems. A prototype range extending series hybrid vehicle was constructed with independent front wheel drives. A hybrid vehicle stability assist (VSA) algorithm was developed to perform proportional control of yaw rate through left/right distribution of front motor torques while simultaneously blending anti-lock braking and traction control with electric drive within hybrid system power limits. The new model, Hybrid Electric Vehicle Dynamic Environment, Virtual (HEVDEV), was used to simulate the hybrid VSA safety system in the prototype. Skid pad testing was performed to validate HEVDEV simulations of steady state turning behavior and develop hybrid VSA control parameters. Further simulations predicted successful hybrid VSA performance during step-steer and braking-in-a-turn dynamic maneuvers. Conclusions were made about hybrid VSA and vehicle component specifications.


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