Electric Braking Control Methods for Electric Vehicles With Independently Driven Front and Rear Wheels

Mutoh, N.; Hayano, Y.; Yahagi, H.; Takita, Kensuke

doi:10.1109/tie.2007.892731

Cited by 133 publications

(52 citation statements)

References 7 publications

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“…Thus, in order to distribute braking force according to the ideal curve, we need to obtain the friction coefficient in real time, but it is difficult to measure the changing friction coefficient directly. However, it can be found that the distribution ratio Rf and Rr of the front and rear wheels, does not depend on the friction coefficient [18]:…”

Section: Principle Of Braking Force Distributionmentioning

confidence: 96%

“…Therefore, a pedal feel simulator is added to consume the brake oil flowing from the master cylinder and simulate the front wheels cylinder characteristics to maintain a similar brake pedal feeling. Figure 3 shows the principle of braking force distribution between front and rear wheels, which occurs when brake operations are performed while running on flat roads [18]. The braking force F car can be estimated from Equation (1) using the vehicle acceleration α car .…”

Section: Structure Of "Lf620" Prototype Evmentioning

confidence: 99%

“…The safety and riding comfort of vehicles are strongly influenced by the braking performance since various phenomena uncontrollable by the driver's pedal operations occur when braking [18,19]. In regenerative braking strategy (RBS) design, the objectives of safety, reliability and easy application are the most important factors that should be considered.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent Regenerative Braking Strategy for Electric Vehicles

Liu

et al. 2011

Energies

143

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Abstract:Regenerative braking is an effective approach for electric vehicles (EVs) to extend their driving range. A fuzzy-logic-based regenerative braking strategy (RBS) integrated with series regenerative braking is developed in this paper to advance the level of energy-savings. From the viewpoint of securing car stability in braking operations, the braking force distribution between the front and rear wheels so as to accord with the ideal distribution curve are considered to prevent vehicles from experiencing wheel lock and slip phenomena during braking. Then, a fuzzy RBS using the driver's braking force command, vehicle speed, battery SOC, battery temperature are designed to determine the distribution between friction braking force and regenerative braking force to improve the energy recuperation efficiency. The experimental results on an "LF620" prototype EV validated the feasibility and effectiveness of regenerative braking and showed that the proposed fuzzy RBS was endowed with good control performance. The maximum driving range of LF620 EV was improved by 25.7% compared with non-RBS conditions.

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Section: Principle Of Braking Force Distributionmentioning

confidence: 96%

Section: Structure Of "Lf620" Prototype Evmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Intelligent Regenerative Braking Strategy for Electric Vehicles

Liu

et al. 2011

Energies

143

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“…Accordingly, in this study we designed an ABS control algorithm with two slip ratio threshold values to achieve the equivalent operation as (26). The wheel hydraulic pressure is calculated as (27) and the final friction torque is derived by substituting (27) into (10).…”

Section: Hydraulic Antilock Braking Controlmentioning

confidence: 99%

Integrated Slip-Based Torque Control of Antilock Braking System for In-Wheel Motor Electric Vehicle

et al. 2014

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In electric vehicles (EVs), cooperative control between a regenerative brake system (RBS) and the conventional hydraulic brake system (HBS) enhances the brake performance and energy regeneration. This paper presents an integrated antilock braking control system based on estimating the wheel slip to improve the anti-slip performance of a four wheel drive in-wheel motor EV. A novel anti-slip control method for regenerative braking was developed and integrated with a hydraulic antilock braking system (ABS) according to the logic threshold concept. When combined with the features of driving motors, the proposed method can improve the brake performance under slip conditions. Comparative simulations showed the proposed control approach provided a more effective antilock braking performance than the conventional ABS.

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“…When a vehicle is driven or brakes on a slippery road, traction control must not only guarantee the effectiveness of the torque output to maintain vehicle stability, but also provide some information about tire-road conditions to other vehicle control systems. Moreover, a well-managed traction control system can cover the functions of ABS, because motors can generate deceleration torque as easily as acceleration one (Mutoh et al, 2007). However, in practice, vehicle systems actually face challenges on restricting the development of traction control.…”

Section: Introductionmentioning

confidence: 99%

A Robust Traction Control for Electric Vehicles Without Chassis Velocity

Hu¹,

Yin²,

Hu³

2011

Electric Vehicles - Modelling and Simulations

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Electric Braking Control Methods for Electric Vehicles With Independently Driven Front and Rear Wheels

Cited by 133 publications

References 7 publications

An Intelligent Regenerative Braking Strategy for Electric Vehicles

An Intelligent Regenerative Braking Strategy for Electric Vehicles

Integrated Slip-Based Torque Control of Antilock Braking System for In-Wheel Motor Electric Vehicle

A Robust Traction Control for Electric Vehicles Without Chassis Velocity

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