Evaluation of regenerative braking based on single-pedal control for electric vehicles
Wei LIU, Hongzhong QI, Xintian LIU, Yansong WANG
Evaluation of regenerative braking based on single-pedal control for electric vehicles
More than 25% of vehicle kinetic energy can be recycled under urban driving cycles. A single-pedal control strategy for regenerative braking is proposed to further enhance energy efficiency. Acceleration and deceleration are controlled by a single pedal, which alleviates driving intensity and prompts energy recovery. Regenerative braking is theoretically analyzed based on the construction of the single-pedal system, vehicle braking dynamics, and energy conservation law. The single-pedal control strategy is developed by considering daily driving conditions, and a single-pedal simulation model is established. Typical driving cycles are simulated to verify the effectiveness of the single-pedal control strategy. A dynamometer test is conducted to confirm the validity of the simulation model. Results show that using the single-pedal control strategy for electric vehicles can effectively improve the energy recovery rate and extend the driving range under the premise of ensuring safety while braking. The study lays a technical foundation for the optimization of regenerative braking systems and development of single-pedal control systems, which are conducive to the promotion and popularization of electric vehicles.
electric vehicle / single-pedal control / regenerative braking / co-simulation / dynamometer test
[1] |
Barkenbus J. Electric vehicles: Climate saviors, or not? Issues in Science and Technology, 2017, 33: 55–59
|
[2] |
Wang Z Q, Chen W. Confidence-based adaptive extreme response surface for time-variant reliability analysis under random excitation. Structural Safety, 2017, 64: 76–86
CrossRef
Google scholar
|
[3] |
Zhang J Z, Lv C, Gou J F,
CrossRef
Google scholar
|
[4] |
Qiu C K, Wang G L. New evaluation methodology of regenerative braking contribution to energy efficiency improvement of electric vehicles. Energy Conversion and Management, 2016, 119: 389–398
CrossRef
Google scholar
|
[5] |
Kumar M S, Revankar S T. Development scheme and key technology of an electric vehicle: An overview. Renewable and Sustainable Energy Reviews, 2017, 70: 1266–1285
CrossRef
Google scholar
|
[6] |
Bildstein M
CrossRef
Google scholar
|
[7] |
Xu G
CrossRef
Google scholar
|
[8] |
Bunyaeva E V, Skorik V G, Vlas’Evskii S V,
CrossRef
Google scholar
|
[9] |
Yu J W, Zheng S L, Pham H,
CrossRef
Google scholar
|
[10] |
Lv C, Hu X S, Sangiovanni-Vincentelli A,
CrossRef
Google scholar
|
[11] |
Wu J N, Yan S Z, Zuo M J. Evaluating the reliability of multi-body mechanisms: A method considering the uncertainties of dynamic performance. Reliability Engineering & System Safety, 2016, 149: 96–106
CrossRef
Google scholar
|
[12] |
Zeff S. My electric journey with a Nissan Leaf: A classic early-adopter experience. IEEE Consumer Electronics Magazine, 2016, 5(3): 79–80
CrossRef
Google scholar
|
[13] |
Tie S F, Tan C W. A review of energy sources and energy management system in electric vehicles. Renewable and Sustainable Energy Reviews, 2013, 20: 82–102
CrossRef
Google scholar
|
[14] |
Lv C, Zhang J Z, Li Y T,
CrossRef
Google scholar
|
[15] |
Dong Q C, Liu X T, Qi H Z,
CrossRef
Google scholar
|
[16] |
Shang Z Z, Qi H Z, Liu X T,
CrossRef
Google scholar
|
[17] |
Ehsani M, Gao Y M, Emadi A. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design. 2nd ed. Abingdon: Taylor & Francis Group, 2010, 90
|
[18] |
Bravo R R S, De Negri V J, Oliveira A A M. Design and analysis of a parallel hydraulic-pneumatic regenerative braking system for heavy-duty hybrid vehicles. Applied Energy, 2018, 225: 60–77
CrossRef
Google scholar
|
[19] |
Zhao D, Chu L, Xu N,
CrossRef
Google scholar
|
[20] |
Kumar C N, Subramanian S C. Cooperative control of regenerative braking and friction braking for a hybrid electric vehicle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2016, 230(1): 103–116
CrossRef
Google scholar
|
[21] |
Ko J W, Ko S Y, Kim I S,
CrossRef
Google scholar
|
[22] |
Liang C, Cai J W, Fu Z C,
|
[23] |
Alvarez R, López A, De la Torre N. Evaluating the effect of a driver’s behaviour on the range of a battery electric vehicle. Proceedings of the Institution of Mechanical Engineers, Part D, Journal of Automobile Engineering, 2015, 229(10): 1379–1391
CrossRef
Google scholar
|
[24] |
Liu L, Liu X T, Wang X L,
|
[25] |
Xu B, Cheng M, Yang H Y,
CrossRef
Google scholar
|
[26] |
Shafie-khah M, Heydarian-Forushani E, Golshan M E H,
CrossRef
Google scholar
|
[27] |
Xiao P, Lou J, Niu L M,
CrossRef
Google scholar
|
[28] |
Oleksowicz S A, Burnham K J, Southgate A,
CrossRef
Google scholar
|
[29] |
Yang Y J. A study on the control strategy for maximum energy recovery by regenerative braking in electric vehicles. Automotive Engineering, 2013, 35(2): 105–110 (in Chinese)
|
[30] |
Zhang J M, Cui S S, Ren Y C. Modeling and simulation of PHEV regenerative braking test platform. Advanced Materials Research, 2011, 219–220: 1170–1173
CrossRef
Google scholar
|
[31] |
Liu X T, Zheng S L, Tie C,
CrossRef
Google scholar
|
/
〈 | 〉 |