To guarantee the braking performance and safety of electric vehicles (EVs) and to improve their regenerative energy performance, a regenerative braking recuperation control strategy based on hierarchical coordinated control of an electrohydraulic brake system (eBooster) is proposed in this paper. First, considering the EV braking system characteristics, the eBooster model, vehicle dynamics model and energy recuperation model are established. Then, a hierarchical coordinated control strategy (HCCS) is proposed, and the top-level controller based on model predictive control (MPC) reasonably coordinates the braking torque according to the control objectives and constraints. Additionally, as per the eBooster characteristics, the bottom-level controller adopts a double closed-loop controller to improve the control accuracy and response speed. Finally, verification in the Simulink/AMESim joint simulation environment shows that the eBooster and the HCCS enable combined regenerative and hydraulic braking, which improves brake safety and performance.
HeydariSFajriPRasheduzzamanM, et al. Maximizing regenerative braking energy recovery of electric vehicles through dynamic Low-Speed cutoff point detection. IEEE Trans Transp Electrification2019; 5(1): 262–270.
2.
BaiXChenGLiW, et al. Critical speeds of electric vehicles for regenerative braking. Automot Innov2021; 4(2): 201–214.
3.
ZhaoLYeMXuX.Intelligent optimization of EV comfort based on a cooperative braking system. Proc IMechE, Part D: J Automobile Engineering2021; 235(10–11): 2904–2916.
4.
RezvanizanianiSMLiuZChenY, et al. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (ev) safety and mobility. J Power Sources2014; 256: 110–124.
5.
MaugerAJulienCM.Critical review on lithium-ion batteries: are they safe? sustainable?Ionics2017; 23(8): 1933–1947.
6.
LiZKhajepourASongJ.A comprehensive review of the key technologies for pure electric vehicles. Energy2019; 182: 824–839.
7.
ZhangJLvCGouJ, et al. Cooperative control of regenerative braking and hydraulic braking of an electrified passenger car. Proc IMechE, Part D: J Automobile Engineering2012; 226(10): 1289–1302.
8.
WangCZhaoWLiW.Braking sense consistency strategy of electro-hydraulic composite braking system. Mech Syst Signal Process2018; 109: 196–219.
9.
PugiLPagliaiMNocentiniA, et al. Design of a hydraulic servo-actuation fed by a regenerative braking system. Appl Energy2017; 187: 96–115.
10.
XiangWRichardsonPCZhaoC, et al. Automobile brake-by-wire control system design and analysis. IEEE Trans Vehicular Technol2008; 57(1): 138–145.
11.
ParkMRJungJWKimDY, et al. Design of high torque density multi-core concentrated flux-type synchronous motors considering vibration characteristics. IEEE Trans Ind Appl2019; 55(2): 1351–1359.
12.
XiongLHanWYuZ.Adaptive sliding mode pressure control for an electro-hydraulic brake system via desired-state and integral-antiwindup compensation. Mechatronics2020; 68: 102359.
13.
de CastroRTodeschiniFAraújoRE, et al. Adaptive-robust friction compensation in a hybrid brake-by-wire actuator. Proc IMechE, Part I: J Systems and Control Engineering2014; 228(10): 769–786.
14.
HanWXiongLYuZ.Braking pressure control in electro-hydraulic brake system based on pressure estimation with nonlinearities and uncertainties. Mech Syst Signal Process2019; 131: 703–727.
15.
TodeschiniFCornoMPanzaniG, et al. Adaptive cascade control of a brake-by-wire actuator for sport motorcycles. IEEE/ASME Trans Mechatron2015; 20(3): 1310–1319.
16.
JunzhiZYutongLChenL, et al. New regenerative braking control strategy for rear-driven electrified minivans. Energy Convers Manag2014; 82: 135–145.
17.
YuanYZhangJLiY, et al. A novel regenerative electrohydraulic brake system: development and hardware-in-loop tests. IEEE Trans Vehicular Technol2018; 67(12): 11440–11452.
18.
SorrentinoMRizzoGArsieI.Analysis of a rule-based control strategy for on-board energy management of series hybrid vehicles. Control Eng Pract2011; 19(12): 1433–1441.
19.
XuGXuKZhengC, et al. Fully electrified regenerative braking control for deep energy recovery and maintaining safety of electric vehicles. IEEE Trans Vehicular Technol2016; 65(3): 1186–1198.
20.
LiLZhangYYangC, et al. Model predictive control-based efficient energy recovery control strategy for regenerative braking system of hybrid electric bus. Energy Convers Manag2016; 111: 299–314.
21.
PeiXPanHChenZ, et al. Coordinated control strategy of electro-hydraulic braking for energy regeneration. Control Eng Pract2020; 96: 104324.
22.
ZhaoJChenZZhuB, et al. Precise active brake-pressure control for a novel electro-booster brake system. IEEE Trans Ind Electron2020; 67(6): 4774–4784.
23.
PacejkaHBBakkerE.The magic formula tyre model. Veh Syst Dyn1992; 21(S1): 1–18.
24.
FarroniFLambertiRMancinelliN, et al. Trip-id: A tool for a smart and interactive identification of magic formula tyre model parameters from experimental data acquired on track or test rig. Mech Syst Signal Process2018; 102: 1–22.
25.
SavitskiDIvanovVAugsburgK, et al. The new paradigm of an anti-lock braking system for a full electric vehicle: Experimental investigation and benchmarking. Proc IMechE, Part D: J Automobile Engineering2016; 230(10): 1364–1377.
26.
XiongLHouYGuangX, et al. The control method of a dual-motor driving ehb system. In: 2014 IEEE conference and expo transportation electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China, 31 August –September 32014, pp.1–5. New York: IEEE.
