scholarly journals Deceleration Planning Algorithm Based on Classified Multi-Layer Perceptron Models for Smart Regenerative Braking of EV in Diverse Deceleration Conditions

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4020 ◽  
Author(s):  
Gyubin Sim ◽  
Kyunghan Min ◽  
Seongju Ahn ◽  
Myoungho Sunwoo ◽  
Kichun Jo
Keyword(s):  
Electric Vehicles ◽  
Driving Behavior ◽  
Regenerative Braking ◽  
Multi Layer Perceptron ◽  
Time To Collision ◽  
Car Following ◽  
Braking System ◽  
Planning Algorithm ◽  
Autonomous Version ◽  
The Individual

The smart regenerative braking system (SRS) is an autonomous version of one-pedal driving in electric vehicles. To implement SRS, a deceleration planning algorithm is necessary to generate the deceleration used in automatic regenerative control. To reduce the discomfort from the automatic regeneration, the deceleration should be similar to human driving. In this paper, a deceleration planning algorithm based on multi-layer perceptron (MLP) is proposed. The MLP models can mimic the human driving behavior by learning the driving data. In addition, the proposed deceleration planning algorithm has a classified structure to improve the planning performance in each deceleration condition. Therefore, the individual MLP models were designed according to three different deceleration conditions: car-following, speed bump, and intersection. The proposed algorithm was validated through driving simulations. Then, time to collision and similarity to human driving were analyzed. The results show that the minimum time to collision was 1.443 s and the velocity root-mean-square error (RMSE) with human driving was 0.302 m/s. Through the driving simulation, it was validated that the vehicle moves safely with desirable velocity when SRS is in operation, based on the proposed algorithm. Furthermore, the classified structure has more advantages than the integrated structure in terms of planning performance.

Pressure Coordinated Control System of Regenerative Braking Based on Hardware of ABS for HEV

2011 ◽  
Vol 121-126 ◽  
pp. 3406-3410 ◽  
Author(s):  
Yang Yang ◽  
Yang Yang ◽  
Da Tong Qin ◽  
Jin Li
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Coordinated Control ◽  
Regenerative Braking ◽  
Design And Optimization ◽  
Braking System ◽  
Dynamic Performances ◽  
Simulation Results

A new kind of pressure coordinated control system suite of regenerative braking system for hybrid electric vehicles (HEV) is proposed in this paper on the basis of appropriate transformation on traditional hydraulic braking system with ABS. AMEsim modular simulation platform is used to build a simulation model of the system. Dynamic performances of the key components and system are simulated and analyzed. And the simulation results show the effectiveness and feasibility of the pressure coordinated control system, which lays the foundation of the design and optimization for the regenerative braking system.

scholarly journals ANN Based Improved Regenerative Braking System on PV/Battery Powered Electric Vehicles with Single Stage Interaction Converter

2019 ◽  
Vol 8 (9S2) ◽  
pp. 738-747
Keyword(s):  
Electric Vehicles ◽  
Single Stage ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Voltage Reference ◽  
Hybrid Features ◽  
Switching Algorithm ◽  
Braking System ◽  
Pv Panel ◽  
Solar Battery

Hybrid features batteriesand photovoltaic (PV) module located on the roof of electric Vehicles (EV) can be effectively used by a single stage interaction converter (SSIC). SSIC is introduced for directing the energy flow amid the PV panel, battery and BLDC machine.In this paper a novel braking system is used for charing electrical vehicles using solar battery system (PV) integrated with BLDC motor. It is called as RBS (Regenerative Braking System). During the RB process, generator function is provided by BLDC motor. In order to boost the BLDC-Back-EMF, a suitable switching algorithm is used. By boosting the inverter and SSIC converter the DC-Link voltage reference is reduced to charge the battery. It increases the efficiency of the RB system. In this paper Aritifical Neural Network is used to provide a smooth and reliable brake with distributed force. This proposed BLDC-Back-EMF is experimented in MATLAB Simulink software and the results are verified. Speed, Breaking-Force, torque and front-RB force, rearmeachnical-RB force and other voltage, power are verified.

scholarly journals Driver Characteristics Oriented Autonomous Longitudinal Driving System in Car-Following Situation

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6376
Author(s):  
Haksu Kim ◽  
Kyunghan Min ◽  
Myoungho Sunwoo
Keyword(s):  
Driving Behavior ◽  
Cruise Control ◽  
Driver Assistance ◽  
Collision Warning ◽  
Driving System ◽  
Traffic Jam ◽  
Car Following ◽  
Preceding Vehicle ◽  
Planning Algorithm ◽  
Control Traffic

Advanced driver assistance system such as adaptive cruise control, traffic jam assistance, and collision warning has been developed to reduce the driving burden and increase driving comfort in the car-following situation. These systems provide automated longitudinal driving to ensure safety and driving performance to satisfy unspecified individuals. However, drivers can feel a sense of heterogeneity when autonomous longitudinal control is performed by a general speed planning algorithm. In order to solve heterogeneity, a speed planning algorithm that reflects individual driving behavior is required to guarantee harmony with the intention of the driver. In this paper, we proposed a personalized longitudinal driving system in a car-following situation, which mimics personal driving behavior. The system is structured by a multi-layer framework composed of a speed planner and driver parameter manager. The speed planner generates an optimal speed profile by parametric cost function and constraints that imply driver characteristics. Furthermore, driver parameters are determined by the driver parameter manager according to individual driving behavior based on real driving data. The proposed algorithm was validated through driving simulation. The results show that the proposed algorithm mimics the driving style of an actual driver while maintaining safety against collisions with the preceding vehicle.

Design of Brake Pedal Stroke Simulator for Hybrid Electric Car

2013 ◽  
Vol 694-697 ◽  
pp. 73-76 ◽  
Author(s):  
Cong Wang ◽  
Hong Wei Liu ◽  
Liang Yao ◽  
Yan Bo Wang ◽  
Liang Chu ◽  
...  
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Design Parameters ◽  
Regenerative Braking ◽  
Brake Pedal ◽  
Braking System ◽  
Electric Car ◽  
Hybrid Electric ◽  
Braking Control

A brake pedal stroke simulator is a key component of realizing a Regenerative Braking System. It provides a good pedal feeling to a driver, improves energy recovery and ensures braking security. This paper presents the hardware solution of the braking control system, the structure and key design parameters of a brake pedal stroke simulator. Through simulation, the energy recover rate and brake pedal feeling of drivers can be improved. The simulator can be used to realize the regenerative braking system in hybrid or electric vehicles.

scholarly journals Researchon Regenerative and Dynamic Braking Performance in Motor Application

2019 ◽  
Vol 8 (6S4) ◽  
pp. 427-430
Keyword(s):  
Electric Vehicles ◽  
Energy Utilization ◽  
Source Control ◽  
Regenerative Braking ◽  
Braking Performance ◽  
Control Techniques ◽  
Braking System ◽  
Performance Development ◽  
Electric Braking ◽  
Dynamic Braking

This paper presents the analysis of the different braking system and fed into the motor application. Electric braking plays a major role in the working of electric vehicles the performance development, energy utilization. So the braking system is used to enhance the performance of the motor. Here the analysis of regenerative and dynamic braking performance in an induction motor.In energy generation context, regenerative braking is very proficient. On the other hand in dynamic braking, the energy will not fed back to the source, but the performance of regenerative braking is the generated power fed back to the source. Control techniques have used to utilize the energy efficiency of regenerative braking and analysis their performance in regenerative braking. In this study, comparison has been made between the utilization of regenerated power in dynamic braking and regenerative braking

Nonlinear analysis of the individual difference corresponding to honk effect for car-following theory under V2X environment

2020 ◽  
Vol 31 (11) ◽  
pp. 2050157
Author(s):  
Guanghan Peng ◽  
Li Qing
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Individual Difference ◽  
Driving Behavior ◽  
Flow Dynamics ◽  
Traffic Modeling ◽  
Car Following ◽  
Car Following Model ◽  
The Individual ◽  
Honk Effect

Originally, we would like to use traffic modeling for car-following model to recover the individual difference of driving behavior corresponding to honk effect under V2X environment. Traffic stability is related to the individual difference resulting from the honk effect, which states that the individual difference of honk effect plays a different significant impact on the traffic stability. Furthermore, the slowly varying behaviors are closely consistent with the individual difference corresponding to the honk effect for long waves. Numerical simulation indicates that the individual difference of driving behavior plays a different role on traffic flow dynamics under honk environment in car-following model.

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