Design of Regenerative Braking System for Electric Motorcycle Based on Supercapacitor with Fuzzy PID

Suyanto, Suyanto; Darwito, Purwadi Agus; Wahyuono, Ruri Agung; Arifin, Muh. Samsul; Sudarmanta, Bambang

doi:10.1007/s12239-023-0017-6

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…( 3). On different road surfaces, the tyre road friction condition varies significantly, which affects the maximum available rear tyre force for motorcycle accelerating and regenerative braking, as described in (7):…”

Section: B Effect Of Tyre Road Friction Condition On Motorcycle Accel...mentioning

confidence: 99%

“…Since the multi-gear transmission and clutch can be canceled in the electric motorcycle owing to electric motor advantages, motorcycle launching and driving are only controlled by the throttle grip and braking is only controlled by the front brake lever and rear brake pedal. Electric motorcycle provides the option of using the motor for regenerative braking [6], [7] in addition to the front and rear mechanical brake actuators, which helps to recover the kinetic energy and reduce energy consumption. Regenerative braking also reduces the mechanical brake discs wear and heat degradation which bring maintenance requirements and safety problems in engine-driven motorcycles.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Riding Posture and Regenerative Braking on Electric Motorcycle Energy Consumption

Zhou,

Dinh,

Zhu

et al. 2023

2023 IEEE Vehicle Power and Propulsion Conference (VPPC)

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In this paper, the impact of riding posture and regenerative braking on electric motorcycle energy economy is described. The motorcycle longitudinal dynamic model is first built to describe the motorcycle acceleration, tyre load transfer and energy consumption. Through energy consumption analysis based on the world motorcycle test cycle-class 3-2 (WMTC 3-2), the low riding posture can save up to 22.65% of energy consumption than the high riding posture, and regenerative braking can help to save up to 7.65% of energy consumption, which demonstrates the benefit of riding posture control and regenerative braking on energy saving. It is also demonstrated that riding posture has an impact on the rear tyre load and the available rear tyre longitudinal force. At low tyre road friction conditions, higher riding posture can provide more rear tyre longitudinal force for accelerating and regenerative braking, which improves the motorcycle dynamic performance and energy economy.

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Section: B Effect Of Tyre Road Friction Condition On Motorcycle Accel...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Riding Posture and Regenerative Braking on Electric Motorcycle Energy Consumption

Zhou,

Dinh,

Zhu

et al. 2023

2023 IEEE Vehicle Power and Propulsion Conference (VPPC)

View full text Add to dashboard Cite

show abstract

“…The ideal regenerative braking control strategy refers to the distribution of braking force between the front and rear wheels according to the ideal front-and rearwheel braking force distribution curve (I curve). The allocation strategies for regenerative braking include fuzzy control [12], optimal control [13], hierarchical control [14], sliding mode control [15], and neural network control [16]. Fuzzy control technology is based on fuzzy mathematics theory, which improves the controllability, adaptability, and rationality of control algorithms by simulating human approximate reasoning and comprehensive decision-making processes.…”

Section: Introductionmentioning

confidence: 99%

Regenerative Braking of Electric Vehicles Based on Fuzzy Control Strategy

Yin,

Ma,

et al. 2023

Processes

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Regenerative braking technology is a viable solution for mitigating the energy consumption of electric vehicles. Constructing a distribution strategy for regenerative braking force will directly affect the energy saving efficiency of electric vehicles, which is a technical bottleneck of battery-powered electric vehicles. The distribution strategy of the front- and rear-axle braking forces of electric vehicles that possess integrated front-wheel-drive arrangements is established based on the Economic Commission of Europe (ECE) regulations, which enables the clarification of the total braking force of the front axle. The regenerative braking torque model of the motor is adjusted to optimize the ratio of motor braking force to the whole front-axle braking force. The regenerative braking process of electric vehicles is influenced by many factors, such as driving speed and braking intensity, so regenerative braking presents characteristics of nonlinearity, time variability, delay, and incomplete models. By considering the impact of fuzzy controllers having better robustness, adaptability, and fault tolerance, a fuzzy control strategy is employed in this paper to accomplish the regenerative braking force distribution on the front axle. A regenerative braking model is created on the Simulink platform using the braking force distribution indicated above, and experiments are run under six specific operating conditions: New European Driving Cycle (NEDC), World Light-Duty Vehicle Test Cycle (WLTC), Federal Test Procedure 72 (FTP-72), Federal Test Procedure 75 (FTP-75), China Light-Duty Vehicle Test Cycle-Passenger (CLTC-P), and New York City Cycle (NYCC). The findings demonstrate that in six typical cycling road conditions, the energy saving efficiency of electric vehicles has greatly increased, reaching over 15%. The energy saving efficiency during the WLTC driving condition reaches 25%, and it rises to 30% under the FTP-72, FTP-75, and CLTC-P driving conditions. Furthermore, under the NYCC road conditions, the energy saving efficiency exceeded 40%. Therefore, our results verify the effectiveness of the regenerative braking control strategy proposed in this paper.

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A novel bald eagle search optimised ANFIS controlled high gain sepic converter-based efficient regenerative charging control for electric vehicles

Ramadevi,

Senthil kumar,

Balamurugan

2024

Electr Eng

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Design of Regenerative Braking System for Electric Motorcycle Based on Supercapacitor with Fuzzy PID

Cited by 6 publications

References 8 publications

Impact of Riding Posture and Regenerative Braking on Electric Motorcycle Energy Consumption

Impact of Riding Posture and Regenerative Braking on Electric Motorcycle Energy Consumption

Regenerative Braking of Electric Vehicles Based on Fuzzy Control Strategy

A novel bald eagle search optimised ANFIS controlled high gain sepic converter-based efficient regenerative charging control for electric vehicles

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