Application of Electric Servo Brake System to Plug-In Hybrid Vehicle

Ohkubo, Naoto; Matsushita, Satoshi; Ueno, Masayuki; Akamine, Kohei; Hatano, Kunimichi

doi:10.4271/2013-01-0697

Cited by 30 publications

(8 citation statements)

References 4 publications

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“…Compared with traditional energy vehicles, the main advantages and characteristics of new energy vehicles are that they provide fuel and other power sources, improve fuel economy, and improve emission performance. The special braking kinetic energy recovery technology of new energy vehicles can improve energy utilization efficiency and extend vehicle driving range without raising the cost of vehicle hardware and the braking reliability of transmission energy vehicles [2,3,10]. A Company has introduced the vehicle equipped with electric hybrid system and integrated power brake (IPB) system, which has all the functions of new energy vehicle braking system.…”

Section: Powertrain Operation Features Of Electric Hybrid Systemmentioning

confidence: 99%

Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

Liang

Cui

et al. 2021

WEVJ

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In order to improve the adaptability and accuracy of the system average efficiency model in energy consumption analysis of working conditions, this paper presents a vehicle energy distribution model based on the layout and powertrain operation features of the electric hybrid system, and presents a vehicle energy consumption optimization method for control strategy and hardware quality optimization based on the guidance of the energy distribution model.

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Section: Powertrain Operation Features Of Electric Hybrid Systemmentioning

confidence: 99%

Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

Liang

Cui

et al. 2021

WEVJ

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show abstract

“…However, as one of the critical safety components of automobiles, once the pressure sensor fails, the function of MCPC, which is based on the pressure sensor, will be seriously affected. Some products have adopted two pressure sensors in the master cylinder for mutual inspection as a solution for failure detection and backup, which has led to a further increase in cost [18]. For this reason, master cylinder pressure estimation (MCPE) is a promising solution to the above-mentioned problems.…”

Section: Introductionmentioning

confidence: 99%

Pressure Estimation of the Electro-Hydraulic Brake System Based on Signal Fusion

Shi

Liu

2021

Actuators

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At present, the master cylinder pressure estimation algorithm (MCPE) of electro-hydraulic brake systems (EHB) based on vehicle dynamics has the disadvantages of poor condition adaptability, and there are delays and noise in the estimated pressure; however, the MCPE based on the characteristics of an EHB (i.e., the pressure–position relationship) is not robust enough to prevent brake pad wear. For the above reasons, neither method be applied to engineering. In this regard, this article proposes a MCPE that is based on signal fusion. First, a five-degree-of-freedom (5-DOF) vehicle model that includes longitudinal motion, lateral motion, yaw motion, and front and rear wheel rotation is established. Based on this, an algebraic expression for MCPE is derived, which extends the MCPE from a straight condition to a steering condition. Real vehicle tests show that the MCPE based on the 5-DOF vehicle model can effectively estimate the brake pressure in both straight and steering conditions. Second, the relationship between the hydraulic pressure and the rack position in the EHB is tested under different brake pad wear levels, and the results show that the pressure–position relationship will change as the brake pad is worn down, so the pressure estimated by the pressure–position model based on fixed parameters is not robust. Third, a MCPE based on the fusion the above two MCPEs through the recursive least squares algorithm (RLS) is proposed, in which the pressure-position model can be updated online by vehicle dynamics and the final estimated pressure is calculated based on the updated pressure–position model. Finally, several simulations based on vehicle test data demonstrate that the fusion-based MCPE can estimate the brake pressure accurately and smoothly with little delay and is robust enough to prevent brake pad wear. In addition, by setting the enabling conditions of RLS, the fusion-based MCPE can switch between driving and parking smoothly; thus, the fusion-based MCPE can be applied to all working conditions.

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“…This system has two master cylinders, one of which is the backup master cylinder and the other is the booster master cylinder. To decouple the brake pedal and brake pressure, and control the brake pressure on each axle individually, this system is also equipped with a pedal stroke simulator [15,16]. Identical to the layout used by Honda, Continental Automotive GmbH designed an electro-hydraulic braking system called Mk C1.…”

Section: Introductionmentioning

confidence: 99%

Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles

Liang

Zhao

et al. 2021

WEVJ

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Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy. However, the traditional regenerative braking system cannot be applied to highly automated driving vehicles. Therefore, this paper proposes a fully decoupled regenerative braking system for highly automated driving vehicles, which has two working modes: conventional braking and redundant braking. Aimed at the above two working modes, this paper respectively proposes the pressure control algorithm, based on P-V characteristics, and the pressure control algorithm, based on the overflow characteristics of the solenoid valve. AMESim is utilized as the simulation platform, and then is co-simulated with MATLAB/Simulink, which is embedded with the control algorithm. The simulation results show the feasibility and effectiveness of the regenerative braking system and the pressure control algorithm.

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Application of Electric Servo Brake System to Plug-In Hybrid Vehicle

Cited by 30 publications

References 4 publications

Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

Pressure Estimation of the Electro-Hydraulic Brake System Based on Signal Fusion

Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles

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