Brake Blending and Optimal Torque Allocation Strategies for Innovative Electric Powertrains

Pugi, Luca; Favilli, Tommaso; Berzi, Lorenzo; Locorotondo, Edoardo; Pierini, Marco

doi:10.1007/978-3-030-11973-7_57

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The evaluation of cell model parameters is performed on a LiFePO4 cell from A123, the ANR26650M1-B (2.5 Ah of capacity and 3.3 V of nominal voltage). The cell model parameters are estimated fitting the EIS data measurement in the frequency range [1][2][3][4][5][6][7][8][9][10] Hz, using different Equivalent Electrical Circuit (EEC) configurations shown in Table I and in Fig. 7.…”

Section: A Experimental Setupmentioning

confidence: 99%

“…It's noticeable that the fitting result's effectiveness of the all EEC configurations considered is validated. In particular, it's noticeable that in the frequency range [1][2][3][4][5][6][7][8][9][10] Hz we can consider only a single R-CPE branch to build the cell model. The electronic load MM540 by Material Mates Instruments has been used to spectroscopy test.…”

Section: A Experimental Setupmentioning

confidence: 99%

“…More accurate battery model should help BMS to increase not only the performance of the battery system but of the entire EV. Indeed more control strategy in Electrical Control Unit (ECU) of the vehicle requires the estimation of battery internal states, as shown in [6]. In literature exist many methodologies for battery modeling and battery state estimation [7], [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy

Locorotondc

Pugi

Berzi

et al. 2019

2019 IEEE 5th International Forum on Research and Technology for Society and Industry (RTSI)

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This paper presents a set of time-domain electrical equivalent circuit models for battery voltage prediction under arbitrary current profiles. The circuit model is composed by passive electrical components like resistance, inductance and capacitance. The constant phase elements are introduced in the model, which are usually used in electrochemical impedance spectroscopy analysis to describe the electrical property of double layer capacitors between electrode and electrolyte. The aim of the paper is the modeling in the time-domain of the constant phase elements. Two models are proposed. Model's accuracy and run speed are evaluated by comparing experimental results obtained by an appropriate testbed and simulation results obtained by the implementation and the execution of the model using Matlab software.

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Section: A Experimental Setupmentioning

confidence: 99%

Section: A Experimental Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy

Locorotondc

Pugi

Berzi

et al. 2019

2019 IEEE 5th International Forum on Research and Technology for Society and Industry (RTSI)

Self Cite

View full text Add to dashboard Cite

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“…15 In addition, the torque vectoring system was proposed by integrating optimal distribution and brake blending policies to optimally exploit available wheel-road adhesion avoiding tire force saturation. 16 The constrained Quadratic Programming (QP) was utilized for optimal torque distribution considering the tire force constraints. 17 The objective cost function was formulated by including the tire slip and the control input size.…”

Section: Introductionmentioning

confidence: 99%

Torque vectoring system design for hybrid electric–all wheel drive vehicle

Cho

Huh

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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A torque vectoring system is designed for the hybrid electric–all wheel drive vehicle where the front and rear wheels are powered by the combustion engine and electric motors, respectively. The vehicle provides enhanced handling performance by a twin motor drive unit that can distribute the driving and regenerative braking torques to the rear-left and rear-right wheels independently. Based on the driver’s intention, a sliding mode controller is designed to calculate the desired traction force and yaw moment for the vehicle. The force distribution between the front and rear axles is investigated considering the principle of the friction circle, and characteristics of the engine and drive motors. The vertical tire force is estimated using the random walk Kalman filter for the proportional distribution between the front and rear longitudinal forces. For the torque distribution between the rear-left and rear-right wheels, an optimization problem is formulated by considering the constraints of the friction circle and motor characteristics. The proposed algorithm is evaluated in a simulation environment first by reflecting the characteristics of the hybrid electric–all wheel drive modules. Then, the test vehicle is utilized to validate the handling performance experimentally and to compare with the uncontrolled cases.

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“…The availability of regenerative braking in EVs can lead to many advantages, ranging from an overall increase in efficiency to a reduction in brake wear and maintenance costs [5,6,7,8]. However, it is currently unable to provide sufficient braking performance by itself in every operating condition [9].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Identification of an Electric Vehicle Braking System: Thermal and Tribology Phenomena Assessment

D’hondt¹,

Forrier²,

Sarrazin³

et al. 2020

SAE Technical Paper Series

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A rapidly shifting market and increasingly stringent environmental regulations require the automotive industry to produce more efficient low-emission Eletric Vehicles (EVs). Regenerative braking has proven to be a major contributor to both objectives, enabling the charging of the batteries during braking and a reduction of the load and wear of the brake pads. The optimal sizing of such systems requires the availability of good simulation models to improve their performance and reliability at all stages of the vehicle design. This enables the designer to study both the integration of the braking system with the full vehicle equipment and the interactions between electrical and mechanical braking strategies. This paper presents a generic simulation framework for the identification of thermal and wear behaviour of a mechanical braking system, based on a lumped parameter approach. The thermal behaviour of the system is coupled back to the friction coefficient between the pad and the disk to assess its effect on braking performance. Additionally, the effect of wear and temperature on the generation of airborne particles is investigated. Subsequently, experimental data collected on a real EV is used to validate and tune the previously described simulation model, following a proposed validation procedure. The instrumentation method and challenges, as well as the experimental procedure used to collect the data on a chassis dynamometer and in real-world driving conditions, are described. Finally, simulation results for different driving scenarios are used to compare virtual and experimental results.

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Brake Blending and Optimal Torque Allocation Strategies for Innovative Electric Powertrains

Cited by 8 publications

References 12 publications

Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy

Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy

Torque vectoring system design for hybrid electric–all wheel drive vehicle

Modeling and Identification of an Electric Vehicle Braking System: Thermal and Tribology Phenomena Assessment

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