Development of co-operative control algorithm for parallel HEV with electric booster brake during regenerative braking

2011 ◽  
Author(s):  
Jungwook Kim ◽  
Sungyeon Ko ◽  
Gaeun Lee ◽  
Hoon Yeo ◽  
Pilgu Kim ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Regenerative Braking ◽  
Electric Booster ◽  
Operative Control

scholarly journals Retraction: Kwon et al. Cooperative Control Algorithm for Friction and Regenerative Braking Systems Considering Temperature Characteristics. World Electr. Veh. J. 2015, 7, 287–298

2021 ◽  
Vol 12 (2) ◽  
pp. 68
Author(s):  
Keyword(s):  
Cooperative Control ◽  
Control Algorithm ◽  
Regenerative Braking ◽  
Temperature Characteristics

The journal retracts the article, ”Cooperative control algorithm for friction and regenerative braking systems considering temperature characteristics” [...]

A direct yaw moment controller for a four in-wheel motor drive electric vehicle using adaptive sliding mode control

2019 ◽  
Vol 233 (3) ◽  
pp. 549-567 ◽  
Author(s):  
Aria Noori Asiabar ◽  
Reza Kazemi
Keyword(s):  
Sliding Mode Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Regenerative Braking ◽  
Lane Change ◽  
Unknown Parameters ◽  
Vehicle Handling ◽  
Adaptive Sliding Mode ◽  
Yaw Moment

In this paper, a direct yaw moment control algorithm is designed such that the corrective yaw moment is generated through direct control of driving and braking torques of four in-wheel brushless direct current motors located at the empty space of vehicle wheels. The proposed control system consists of a higher-level controller and a lower-level controller. In the upper level of proposed controller, a PID controller is designed to keep longitudinal velocity constant in manoeuvres. In addition, due to probable modelling error and parametric uncertainties as well as adaptation of unknown parameters in control law, an adaptive sliding mode control through adaptation of unknown parameters is presented to yield the corrective yaw moment such that the yaw rate tracks the desired value and the vehicle sideslip angle maintains limited so as to improve vehicle handling stability. The lower-level controller allocates the achieved control efforts (i.e. total longitudinal force and corrective yaw moment) to driving or regenerative braking torques of four in-wheel motors so as to generate the desired tyre longitudinal forces. The additional yaw moment applied by upper-lever controller may saturate the tyre forces. To this end, a novel longitudinal slip ratio controller which is designed based on fuzzy logic is included in the lower-level controller. A tyre dynamic weight transfer-based torque distribution algorithm is employed to distribute the motor driving torque or regenerative braking torque of each in-wheel motor for vehicle stability enhancement. A seven degree-of-freedom non-linear vehicle model with Magic Formula tyre model as well as the proposed control algorithm are simulated in Matlab/Simulink software. Three steering inputs including lane change, double lane change and step-steer manoeuvres in different roads are investigated in simulation environment. The simulation results show that the proposed control algorithm is capable of improving vehicle handling stability and maintaining vehicle yaw stability.

scholarly journals A Novel Pneumatic Brake Pressure Control Algorithm for Regenerative Braking System of Electric Commercial Trucks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83372-83383 ◽  
Author(s):  
Dawei Pi ◽  
Qing Cheng ◽  
Boyuan Xie ◽  
Hongliang Wang ◽  
Xianhui Wang
Keyword(s):  
Control Algorithm ◽  
Pressure Control ◽  
Regenerative Braking ◽  
Braking System ◽  
Brake Pressure

Study of a Method for Improving the Anti-Lock Brake System of Electric Vehicle

2012 ◽  
Vol 157-158 ◽  
pp. 542-545 ◽  
Author(s):  
Liang Chu ◽  
Liang Yao ◽  
Zi Liang Zhao ◽  
Wen Ruo Wei ◽  
Yong Sheng Zhang
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Control Algorithm ◽  
System Structure ◽  
Regenerative Braking ◽  
Threshold Control ◽  
Braking System ◽  
Simulink Model ◽  
Braking Force ◽  
The Stability

The Anti-lock Braking System (ABS) of Electric Vehicle (EV) is improved in this paper. Based on the research of system structure and motor, a new method is proposed to adjust the threshold and coordinate the motor braking force with the friction braking force. So the traditional threshold control algorithm of ABS is improved for the EV. The simulation results based on the MATLAB/Simulink model indicate that the improved ABS can keep the wheels in the stability region and decrease the motor regenerative braking force as soon as possible. The balance between brake safety and energy recovery is achieved through this method.

scholarly journals A stochastic approach to the operative control of flood flows through a reservoir

2016 ◽  
Vol 64 (1) ◽  
pp. 91-96
Author(s):  
Lubomír Jaroš ◽  
Miloš Starý ◽  
Lucie Březková
Keyword(s):  
Control Algorithm ◽  
Fuzzy Model ◽  
Stochastic Approach ◽  
Water Inflow ◽  
Model Data ◽  
Runoff Water ◽  
Nonlinear Optimisation ◽  
Operative Control ◽  
Optimisation Methods ◽  
Bottom Outlets

Abstract The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

Cooperative regenerative braking control algorithm for an automatic-transmission-based hybrid electric vehicle during a downshift

2011 ◽  
Vol 226 (4) ◽  
pp. 457-467 ◽  
Author(s):  
C Jo ◽  
J Ko ◽  
H Yeo ◽  
T Yeo ◽  
S Hwang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Automatic Transmission ◽  
Regenerative Braking ◽  
Response Characteristics ◽  
Parallel Hybrid Electric Vehicle ◽  
Braking Force ◽  
Hybrid Electric ◽  
Braking Control

A cooperative regenerative braking control algorithm is proposed for a six-speed automatic-transmission-based parallel hybrid electric vehicle (HEV) during a downshift that satisfies the requirements for braking force and driving comfort. First, a downshift strategy during braking is suggested by considering the re-acceleration performance. To maintain driving comfort, a cooperative regenerative braking control algorithm is developed that considers the response characteristics of the electrohydraulic brake. Using the electrohydraulic brake’s hardware and an HEV simulator, a hardware-in-the-loop simulation (HILS) is performed. From the HILS results, it is found that the proposed cooperative regenerative braking control algorithm satisfies the demanded braking force and driving comfort during the downshift with regenerative braking.

scholarly journals A Control Algorithm for the Novel Regenerative–Mechanical Coupled Brake System with by-Wire Based on Multidisciplinary Design Optimization for an Electric Vehicle

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2322 ◽  
Author(s):  
Changran He ◽  
Guoye Wang ◽  
Zhangpeng Gong ◽  
Zhichao Xing ◽  
Dongxin Xu
Keyword(s):  
Multidisciplinary Design Optimization ◽  
Control Algorithm ◽  
Multidisciplinary Design ◽  
Regenerative Braking ◽  
The Novel ◽  
Control Parameters ◽  
Torque Distribution ◽  
Distribution Strategy ◽  
Braking Torque ◽  
Sample Points

Current regenerative braking systems in electric vehicles have several problems, such as complex structures, too many control parameters, and inconsistent braking responses. To solve these problems, a control algorithm with multidisciplinary design optimization (MDO) is proposed based on the novel regenerative–mechanical coupled brake-by-wire system. A dynamic model of the novel regenerative braking system was established to analyze the mechanism of coupled braking and propose a braking torque distribution strategy. To realize a better balance between the optimum braking stability and the maximum regenerative energy recovery based on the braking torque distribution strategy and sample points, the MDO mathematical model was developed to optimize the control parameters with the collaborative optimization algorithm. The finite sample points comprising the vehicle speed, battery state-of-charge, and braking severity were obtained through an optimal Latin hypercube design and represent the overall design space. A network was established based on the sample points and the optimization results. Using this network, the in-depth characteristics of the sample points and the optimization results were obtained through supervised learning to develop the control algorithm for vehicle braking. A simulation was performed using the normal braking condition, and the simulation results demonstrated that the control algorithm has higher control precision than conventional methods and better real-time performance than online optimization.

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