Highly-Responsive Acceleration Control for the Nissan LEAF Electric Vehicle

Kawamura, Hiromichi; Ito, Ken; Karikomi, Takaaki; Kume, Tomohiro

doi:10.4271/2011-01-0397

Cited by 38 publications

(13 citation statements)

References 1 publication

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“…This controller was used in the first-series production Nissan Leaf. References [9] and [41] present the controller and its tuning for tip-in maneuvers only. The control structure ( Fig.…”

Section: Disturbance Observer Controllermentioning

confidence: 99%

“…In [7] and [8] the feedforward contribution is in the form of a low-pass filter that smoothens the motor torque demand. Kawamura et al [9] design a feedforward controller, implemented on the firstseries production Nissan Leaf, based on: i) an approximate inverse plant model; and ii) a transfer function providing the desired closed-loop dynamics. The system also includes a feedback contribution, in the form of a disturbance observer.…”

Section: Introductionmentioning

confidence: 99%

“…According to the experience of the authors in collaborative projects with industry, this antijerk control method is widely adopted in production vehicles. There are different ways of calculating ̇, : i) the patent by Visteon [12] applies a series of high pass filters to the measured motor speed, ̇; ii) in [9] and [13], Nissan and Hyundai/Kia calculate an oscillation-free motor speed, ̇,…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Scamarcio

Metzler

Gruber

et al. 2020

IEEE Trans. Veh. Technol.

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Anti-jerk controllers actively suppress the torsional oscillations of automotive drivetrains, caused by abrupt variations of the traction torque. The main benefits are: i) enhanced passengers' comfort; and ii) increased component life. Extensive literature deals with the design of anti-jerk controllers for electric powertrains with on-board motors, i.e., in which the electric motor is part of the sprung mass of the vehicle, and transmits torque to the wheels through a transmission, half-shafts and constant velocity joints. Nevertheless, a complete and structured comparison of the performance of the different control options is still missing. This study addresses the gap through the assessment of six anti-jerk controllersfive exemplary formulations from the literature, and one novel formulation based on explicit nonlinear model predictive control (eNMPC). All proposed control structures have the potential to be implemented on production vehicles. A set of objective performance indicators is defined to assess the controllers, which are tuned through an optimizationbased routine. Results show that the wheel speed input is critical to enhance controller performance, but may lead to reduced robustness.

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“…This controller was used in the first-series production Nissan Leaf. References [9] and [41] present the controller and its tuning for tip-in maneuvers only. The control structure ( Fig.…”

Section: Disturbance Observer Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Scamarcio

Metzler

Gruber

et al. 2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…According to [19], the transient torsional vibration is caused by the quick change of the traction torque, which is especially more severe in an EV than an Internal Combustion Engine (ICE) vehicle, for electric motors have fast torque response. In [20,21], the shaking vibration resulted from the motor torque is suppressed with a feed-forward compensator, and the shaking vibration resulted from the disturbances during vehicle driving such as gear backlash is suppressed with a feedback compensator. As the EV mode of an HEV is similar to an EV, researchers extend the vibration control method to the HEV [22].…”

Section: Introductionmentioning

confidence: 99%

Compensation for Inverter Nonlinearity in Permanent Magnet Synchronous Motor Drive and Effect on Torsional Vibration of Electric Vehicle Driveline

Wang

2018

Energies

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Permanent magnet synchronous motors (PMSMs) with inverters are widely used in electric vehicles (EVs). However, current harmonics caused by the nonlinearity of the inverter generate torque ripples and give rise to torsional vibration in the vehicle driveline. This paper proposes a new compensation method to suppress the torque ripples. This method extracts the 6th-order harmonic component online from the d-axis and q-axis currents with the approximate Fourier transform, and adopts a harmonic current PI regulator to calculate compensation voltage, which is added to the voltage reference to compensate the nonlinearity of the inverter. After correcting the current distortion and improving the motor torque smoothness, the torsional vibration of the driveline caused by the motor pulsating torque is reduced. According to the simulation results, the 6th-order of motor torque ripple and the torsional vibration response is reduced about 26–28%, which confirms the validity of the proposed strategy. The proposed method does not need any additional hardware and can be implemented broadly in PMSM drives.

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“…The main drawback of the conventional implementations in powertrain design and control is the lack of global optimality in the selection of architecture, parameters, and variables [15]. By using the conventional design flow, which deals with different subsystems independently, even if the controller is very well designed, the improvement of vehicle performance could be limited, since the physical architecture and parameters are not optimized in sync with the controller, and the system potential is not fully explored.…”

Section: Introductionmentioning

confidence: 99%

Cyber-Physical System Based Optimization Framework for Intelligent Powertrain Control

Wang

Zhao

et al. 2017

SAE Int. J. Commer. Veh.

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The interactions between automatic controls, physics, and driver is an important step towards highly automated driving. This study investigates the dynamical interactions between human-selected driving modes, vehicle controller and physical plant parameters, to determine how to optimally adapt powertrain control to different human-like driving requirements. A cyber-physical system (CPS) based framework is proposed for co-design optimization of the physical plant parameters and controller variables for an electric powertrain, in view of vehicle's dynamic performance, ride comfort, and energy efficiency under different driving modes. System structure, performance requirements and constraints, optimization goals and methodology are investigated. Intelligent powertrain control algorithms are synthesized for three driving modes, namely sport, eco, and normal modes, with appropriate protocol selections. The performance exploration methodology is presented. Simulationbased parameter optimizations are carried out according to the objective functions. Simulation results show that an electric powertrain with intelligent controller can perform its tasks well under sport, eco, and normal driving modes. The vehicle further improves overall performance in vehicle dynamics, ride comfort, and energy efficiency. The results validate the feasibility and effectiveness of the proposed CPS-based optimization framework, and demonstrate its advantages over a baseline benchmark.

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Highly-Responsive Acceleration Control for the Nissan LEAF Electric Vehicle

Cited by 38 publications

References 1 publication

Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Compensation for Inverter Nonlinearity in Permanent Magnet Synchronous Motor Drive and Effect on Torsional Vibration of Electric Vehicle Driveline

Cyber-Physical System Based Optimization Framework for Intelligent Powertrain Control

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