A study on the role of powertrain system dynamics on vehicle driveability

Castellazzi, Luca; Tonoli, Andrea; Amati, Nicola; Galliera, Enrico

doi:10.1080/00423114.2017.1294699

Cited by 19 publications

(11 citation statements)

References 19 publications

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“…Critical components are transformed from rigid to flexible state (side shafts, gears), and elastomeric bearings are introduced. The objectives cover a wide frequency range and gather an indepth understanding of comfort-related events [20,34,56,67,69]. The latter complex models take strong interactions between all corresponding subsystems into account [34, p. 2].…”

Section: B Sensitivity Analysis and Modelling Approachesmentioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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Section: B Sensitivity Analysis and Modelling Approachesmentioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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“…In this study, we used powertrain components (induction motor, generator, and battery) to model the application of regenerative braking in EVs. Accuracy in powertrain component location will improve the vehicle's NVH (noise, vibration, and harshness) behavior [6]. To provide the same torque, the induction motor rotated the driving wheel (DW) through the pulley in a one-to-one ratio.…”

Section: Introductionmentioning

confidence: 99%

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

Budijono

Sutantra

Pramono

2023

IJPEDS

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<span lang="EN-US">The regenerative braking effectiveness of electric vehicles (EVs), with <br /> 8-25% range, requires designers to produce better braking systems. The antilock braking system (ABS) was chosen because it offers various advantages, such as enhanced safety considerations, vehicle maneuverability, and so on. The measurement findings revealed that ABS took longer to stop the wheels with the same wheel rotation speed. Because of the lesser differentiation of magnetic flux to time, it created lower induced emf in the generator. ABS 50 Hz performance was 19.5% at 4500 pm, whereas hydraulic brake performance was 21% at the same speed. ABS used model-based algorithms (MBAs) to boost the friction frequency with the wheels from 10 to 50 Hz. As the frequency increased, the ABS graph approached the hydraulic graph, and the ABS performance improved. Although ABS loses to hydraulics in stopping wheel rotation, it gains in saved energy and battery temperature. Longer wheel stop-times allow the rotational kinetic energy of the wheel more time to be converted into electricity.</span>

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“…However, a MoI-dr iven ICE start-up process faces challenges in drivability control. The objective criteria of drivability evaluation are related to start-up time, torque response, and torsion speed [11] [12], although some criteria may conflict with each other [13]. In particular, during deceleration, the MoI acting on a flameout engine may affect drivability [14] [15].…”

Section: Introductionmentioning

confidence: 99%

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

Jian-bo

Hou

et al. 2020

IEEE Access

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During the deceleration phase of a hybrid electric vehicle (HEV), a moment-of-inertia-driven (MoI-driven) engine start-up process can provide a potential economic benefit because it reduces the energy consumption of the starting device. During this start-up process, it is important to maintain drivability by enabling a quick start-up, low driveline vibration, and fast response to torque demand. The wheel rolling distance control should also be considered. This paper proposes electrical motor (EM) participation in an MoI-driven engine start-up process and studies an adaptive model-based predictive optimization method for the drivability control of P2 parallel hybrid vehicles. Based on a new triple mass-spring-system model, an adaptive model predictive controller (MPC) is designed with EM torque set points, clutch friction torque set points, and engine torque set points as manipulated inputs and engine speed, torsion speed, and wheel rolling distance as the measured outputs. A predicted torque demand is introduced to enhance the torque response performance. By considering the constraints of power source components, an optimization algorithm is developed. A simulation is conducted to verify the control strategy on the HEV powertrain and on vehicle dynamics models. The results show that under the same level of start-up, the torsion speed can be reduced by up to 50% with an improved wheel rolling distance and low torque demand error during a certain deceleration.

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A study on the role of powertrain system dynamics on vehicle driveability

Cited by 19 publications

References 19 publications

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

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