Co-operative control for regenerative braking and friction braking to increase energy recovery without wheel lock

Ko, Ji Hyun; Ko, Soo‐Byung; Kim, I. S.; Hyun, Dongyoon; Kim, H. S.

doi:10.1007/s12239-014-0026-6

Cited by 53 publications

(29 citation statements)

References 20 publications

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“…The dynamic differential equations can be expressed as follows. (3) where m is the vehicle mass; v is the longitudinal velocity; J is the moment of inertia of tire; pt J is the moment of inertia of the powertrain which is shared by the two drive wheels; is the wheel angular speed; r is the wheel radius; xij F is the friction force; and dij T , bij T are the driving and braking torques. In addition, ij fl for the front left wheel, ij fr for the front right wheel, ij rl for the rear left wheel and ij rr for the rear right wheel.…”

Section: A Vehicle Dynamic Modelmentioning

confidence: 99%

“…One is the normal deceleration process. Research in [3] used the sliding-mode control method, modulating the hydraulic braking force to obtain the maximum regeneration efficiency and good brake comfort. A hierarchical control strategy for cooperative braking system of an electric vehicle was put forward in [4], in which, the top layer is used to optimize the braking stability based on two sliding mode control strategies, and the bottom layer is used to maximize the regenerative braking energy recovery efficiency with a reallocated braking torque strategy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on the Composite Braking Control of Electric Vehicle

Dou¹,

Cui²,

Li³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

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Abstract-A new composite braking control strategy is proposed for a rear-wheel-drive electric vehicle (EV) with both a regenerative braking system and a hydraulic braking system to achieve improved braking performance and optimal energy regeneration. Based on the model predictive control (MPC), the proposed braking control strategy maintains the slip ratio within an optimal range by adjusting the braking torque continuously, besides, to recover optimal braking energy, a braking torque allocation strategy of maximum regeneration efficiency is designed. With the control strategy, the regenerative braking system and the hydraulic braking system work synchronously to assure high regenerative efficiency and good braking performance. The proposed braking control strategy is steady and effective, as demonstrated by the simulation.Keywords-composite braking; slip ratio; electric vehicle (EV); model predictive control (MPC); regenerative braking.

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Section: A Vehicle Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Composite Braking Control of Electric Vehicle

Dou¹,

Cui²,

Li³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

View full text Add to dashboard Cite

show abstract

“…the CYC_UDDS condition, the control strategy proposed in this paper is superior to ADVISOR's own, the regenerative braking energy is increased by 57%, and the braking energy recovery inefficiency is increased by 16.48%. Under the CYC_CLEVELAND condition, the control strategy proposed in this study outperforms that of ADVISOR's own, the braking energy is increased by 20.67% and the recovery inefficiency of braking energy is increased by 9.6%.…”

mentioning

confidence: 92%

A Regenerative Braking Control Strategy for EVs Based on Real-Time Dynamic Loading of the Wheels

Li¹,

Ning²,

Wang³

2017

TOEFJ

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This paper proposes a regenerative braking control strategy based on real-time dynamic loading (RTDL) of wheels. Based on the nonlinear relationship between a spring's resilience and displacement, this paper establishes 7-degrees of freedom (DOF) full vehicle model with nonlinear suspension. Then, a method based on suspension deformation is devised to calculate the wheels' dynamic load, and RTDL is used to calculate the braking force of the front and rear wheels. With the braking intensity and the battery state of charge (SOC) as input variables and the desired regenerative braking force as an output variable, we establish a regenerative braking control strategy based on RTDL and simulate it in ADVISOR software. Results show that the designed control strategy effectively improves the regenerative braking energy recovery efficiency by assuring braking stability, and verifies the rationality and feasibility of the proposed control strategy.

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“…One of the most important techniques for HEV's mechanism, as described above, is to improve the regenerative braking system that recovers the residual kinetic energy from braking (Ko et al, 2014). In terms of HEV's energy flow, some of the chemical energy from the fossil fuel is converted to mechanical energy utilized for HEV, but the rest of them are wasted by heat release and friction when the vehicle slows down with the application of the brakes.…”

Section: Introductionmentioning

confidence: 99%

Effect of regenerative braking energy on battery current balance in a parallel hybrid gasoline-electric vehicle under FTP-75 driving mode

Kim

Jeong

et al. 2016

Int.J Automot. Technol.

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In recent years, a hybrid electric vehicle (HEV) has been considered a successful technology. Especially, in case of a full HEV, the motor can drive the vehicle by itself at low velocity or assist the engine at high load. To improve the hybrid electric vehicle's efficiency, a regenerative braking system is also applied to recover from kinetic energy. In this study, an experimental control apparatus was set up with a parallel hybrid electric vehicle mounted on a chassis dynamometer to measure ECU (engine control unit) and MCU (motor control unit) signals, including the current and state of charge in the battery. In order to analyze regenerative braking characteristics, user define braking driving cycle was introduced and carried out using different initial velocities and braking times. The FTP 75 driving cycle was then adapted under different initial SOC (state of charge) levels. The experiment data was analyzed in accordance with the vehicle velocity, battery current, instant SOC level, motor RPM, engine RPM, and then vehicle driving mode was decided. In case of braking driving cycle, it was observed that SOC were increased up to 1.5 % when the braking time and the velocidy were 6 second and 60 km/h, respectively. In addition, using the FTP 75 driving cycle, mode 1 was most frequently operated at SOC 65 conditions in phase 1. In phase 2, due to frequent stop-go hills, percentage of mode 1 was increase by 22 %. Eventually, despite of identity, it was shown that the characteristics of phase 3 differed from phase 1 due to the evanishment of the effects of initial SOCs.

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Co-operative control for regenerative braking and friction braking to increase energy recovery without wheel lock

Cited by 53 publications

References 20 publications

Research on the Composite Braking Control of Electric Vehicle

Research on the Composite Braking Control of Electric Vehicle

A Regenerative Braking Control Strategy for EVs Based on Real-Time Dynamic Loading of the Wheels

Effect of regenerative braking energy on battery current balance in a parallel hybrid gasoline-electric vehicle under FTP-75 driving mode

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