2021
DOI: 10.3390/vehicles3020009
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Integrated Braking Control for Electric Vehicles with In-Wheel Propulsion and Fully Decoupled Brake-by-Wire System

Abstract: This paper introduces a case study on the potential of new mechatronic chassis systems for battery electric vehicles, in this case a brake-by-wire (BBW) system and in-wheel propulsion on the rear axle combined with an integrated chassis control providing common safety features like anti-lock braking system (ABS), and enhanced functionalities, like torque blending. The presented controller was intended to also show the potential of continuous control strategies with regard to active safety, vehicle stability an… Show more

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Cited by 24 publications
(17 citation statements)
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References 27 publications
(30 reference statements)
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“…"Upper" controls are computed accordingly to the desired speed and yaw-rate references so that total driving longitudinal force and yaw-moment, such as Direct Yaw Moment Control (DYC) [27][28][29][30]55], are provided. For the upper motion control strategy several possible techniques could be considered: Sliding-Mode Control (SMC) [13,20,28,[31][32][33][34], robust loop shaping [35,36], PI control [9,10], Model Predictive Control (MPC) [15,17,37,55], controllers based on energy and optimal efficiency allocation [17,27,[38][39][40][41][42]56]. Then, since an in-wheel electric motor can be controlled to track either a torque [2] or a speed reference [8,9], two kinds of CA of the upper control could be implemented: torque or speed.…”
Section: Preliminaries: Wheel Speed/slip Control Motivationsmentioning
confidence: 99%
See 3 more Smart Citations
“…"Upper" controls are computed accordingly to the desired speed and yaw-rate references so that total driving longitudinal force and yaw-moment, such as Direct Yaw Moment Control (DYC) [27][28][29][30]55], are provided. For the upper motion control strategy several possible techniques could be considered: Sliding-Mode Control (SMC) [13,20,28,[31][32][33][34], robust loop shaping [35,36], PI control [9,10], Model Predictive Control (MPC) [15,17,37,55], controllers based on energy and optimal efficiency allocation [17,27,[38][39][40][41][42]56]. Then, since an in-wheel electric motor can be controlled to track either a torque [2] or a speed reference [8,9], two kinds of CA of the upper control could be implemented: torque or speed.…”
Section: Preliminaries: Wheel Speed/slip Control Motivationsmentioning
confidence: 99%
“…The PI control approach is a convenient tool for Wheel Slip Control (WSC) [20] and TC, as also discussed in [17]. Most importantly, the reason behind the proposed speed/slipcontrol approach is properly linked to the online load estimation capability, which enforces the independence of the controller from the wheel PMF model knowledge (this aspect is treated in the next Section 3.2).…”
Section: Preliminaries: Wheel Speed/slip Control Motivationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Sliding mode control (SMC) and incremental proportional-integral (IPI) control were compared in [20] to achieve travel reduction in electric tractors, but the slippage of traction wheels was not analyzed in detail. Similarly, integral sliding mode (ISM) and proportional-integral (PI) control applied in wheel slip control are compared in [21] in terms of simulation results only. In turn, the focus in [22] is given to estimating the optimum slip that leads to the maximum traction and low soil disturbances in unmanned electric tractors, whereas an online slip control algorithm based on SMC is proposed.…”
Section: Introductionmentioning
confidence: 99%