Abstract

A key feature achievable by electric vehicles with multiple motors is torque-vectoring. Many control techniques have been developed to harness torque-vectoring in order to improve vehicle safety and energy efficiency. The majority of the existing contributions only deal with specific aspects of torque-vectoring. This paper presents an integrated approach allowing a smooth coordination among the main blocks that constitute a torque-vectoring control framework: (1) a reference generator, that defines target yaw rate and sideslip angle; (2) a high level controller, that works out the required total torque and yaw moment at the vehicle level; (3) a low level controller, that maps the required force and yaw moment into individual wheel torque demands. In this framework, the driver can select one among a number of driving modes that allow to change the vehicle cornering response and, as a second priority, maximise energy efficiency. For the first time, the selectable driving modes include an “Energy efficiency” mode that uses torque-vectoring to prioritise the maximisation of the vehicle energy efficiency, thus further increasing the vehicle driving range. Simulation results show the effectiveness of the proposed framework on an experimentally validated 14 degrees of freedom vehicle model.

Highlights

  • Recent years have seen an increasingly large interest in vehicle electrification and Advanced Driver Assistance Systems (ADAS), both deemed key features for the future of private transportation

  • The designed control framework includes the possibility for the driver to select different driving modes, to accommodate various desirable vehicle behaviours depending on the driving conditions

  • Simulations were carried out on a 14 degrees of freedom (DOF) vehicle model, developed for MATLAB-Simulink and validated against experimental tests performed on an instrumented passenger car [53]

Read more

Summary

Introduction

Recent years have seen an increasingly large interest in vehicle electrification and Advanced Driver Assistance Systems (ADAS), both deemed key features for the future of private transportation. By allocating different amounts of torque on the left and right hand sides of the vehicle, a direct yaw moment can be generated exploited to control the vehicle behaviour. Other interesting ADAS are steering control systems, which are being increasingly adopted in modern cars: notable examples are the Lane Keeping System, or the Automatic Emergency Steering [11, 12] Their principle of operation is quite different than TV as they directly intervene on the steering wheel angle position in particular situations, such as driver distractions. While direct yaw moment control may be achieved in traditional cars (e.g. with an internal combustion engine) through appropriate mechanical arrangements [14], such as a limited-slip differential, these systems present important limitations, e.g. the impossibility to allocate more torque on the faster wheel of the axle. This allows to: 1. Reduce the understeer gradient with respect to the baseline vehicle (i.e. the same vehicle plant without TV controller)

Extend the region of linear cornering response
Reference generator
Kusddyn
High level controller
Low level controller
The front-to-total wheel torque distribution factor for the right
Driving modes
The energy efficiency mode
Measurements and sensors
Results and discussion
Steady-state manoeuvre: ramp steer
Open loop: step steer
Closed loop: double lane change
Closed loop: mild slalom
Conclusions
Compliance with ethical standards
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call