A5040646238- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
- Real-time simulation and control systems
- Hydraulic and Pneumatic Systems
- Autonomous Vehicle Technology and Safety
- Mechanical Engineering and Vibrations Research
- Soil Mechanics and Vehicle Dynamics
- Electric Motor Design and Analysis
- Advanced Control Systems Optimization
- Electric Vehicles and Infrastructure
- Traffic control and management
- Magnetic Bearings and Levitation Dynamics
- Traffic Prediction and Management Techniques
- Control and Dynamics of Mobile Robots
- Wireless Sensor Networks for Data Analysis
- Time Series Analysis and Forecasting
- Vibration Control and Rheological Fluids
- Automotive and Human Injury Biomechanics
- Vehicle emissions and performance
- Advanced Battery Technologies Research
- Brake Systems and Friction Analysis
- Aerospace Engineering and Control Systems
- Adhesion, Friction, and Surface Interactions
- Innovative Human-Technology Interaction
- Vehicular Ad Hoc Networks (VANETs)
University of Surrey
2016-2025
Cranfield University
2014-2015
University of Padua
2013
This paper presents a traction control (TC) system for electric vehicles with in-wheel motors, based on explicit nonlinear model predictive control. The feedback law, available beforehand, is described in detail, together its variation different plant conditions. controller implemented rapid prototyping unit, which proves the real-time capability of strategy, computing times order microseconds. These are significantly lower than required time step TC application. Hence, can run at same...
The market penetration of electric vehicles (EVs) is going to significantly increase in the next years and decades. However, EVs still present significant practical limitations terms mileage. Hence, automotive industry making important research efforts towards progressive battery energy density, reduction charging time, enhancement powertrain efficiency. machine main power loss contributor an powertrain. This literature survey reviews design control methods improve efficiency machines for...
This paper addresses the development and Hardware-in-the-Loop (HiL) testing of an explicit nonlinear model predictive controller (eNMPC) for antilock braking system (ABS) passenger cars, actuated using electro-hydraulic unit. The control structure includes a compensation strategy to guard against performance degradation due actuation dead times, identified by experimental tests. eNMPC is run on automotive rapid prototyping unit, which shows its real-time capability with comfortable margin. A...
This paper investigates the minimum time/limit handling car manoeuvring through nonlinear optimal control techniques. The resulting 'optimal driver' controls at its physical limits. focus is on cornering: different road surfaces (dry and wet paved road, dirt gravel off-road) transmission layouts (rear-wheel-drive, front-wheel-drive all-wheel-drive) are considered. Low-drift circuit-like manoeuvres aggressive/high-drift even counter-steering rally like found depending terrain/layout...
A recently growing literature discusses the topics of direct yaw moment control based on model predictive (MPC), and energy-efficient torque-vectoring (TV) for electric vehicles with multiple powertrains. To reduce energy consumption, available TV studies focus allocation layer, which calculates individual wheel torque levels to generate total reference longitudinal force moment, specified by higher level algorithms provide desired lateral vehicle dynamics. In fact, a system redundant...
This study applies nonlinear model predictive control (NMPC) to the torque-vectoring (TV) and front-to-total anti-roll moment distribution of a four-wheel-drive electric vehicle with in-wheel-motors, brake-by-wire system, active suspension actuators. The NMPC cost function formulation is based on energy efficiency criteria, strives minimize power losses caused by longitudinal lateral tire slips, friction brakes, powertrains, while enhancing cornering response in steady-state transient...
The introduction of active safety systems and advanced driver assistance has enhanced the control authority over vehicle dynamics through specialized actuators, enabling, for instance, independent wheel torque control. During emergency situations, these step in to aid by limiting response a stable controllable range low longitudinal tire slips slip angles. This approach makes behavior predictable manageable average human driver; however, it is conservative case driving automation. In fact,...
The paper investigates the optimality of handbrake cornering, a strategy widespread among rally drivers. Nonlinear optimal control techniques are used to mimic real driver behavior. A proper yet simple cost function is devised induce virtual car at its physical limits while using technique. solution validated against experimental data by professional performing technique on loose off-road surface. effects road surface, inertial properties, center mass position, and friction coefficient...
The main question in eco-driving is - what speed or torque profile should the vehicle follow to minimize its energy consumption over a certain distance within desired trip time? Various techniques obtain globally optimal energy-efficient driving profiles have been proposed literature, involving optimization algorithms such as dynamic programming (DP) sequential quadratic programming. However, these methods are difficult implement on real vehicles due their significant computational...
Abstract The design and optimisation of a permanent magnet‐assisted synchronous reluctance (PMaSynR) traction machine is described to improve its energy efficiency over selection driving cycles, when installed on four‐wheel‐drive electrically powered vehicle for urban use, with two on‐board powertrains. cycle‐based defined the objective minimising motor loss under strict size constraints, while maintaining peak torque restricting ripple. key parameters that exert most significant influence...
The literature shows increasing interest in the energy efficiency aspects of electric vehicles with multiple actuators, e.g., capable individual wheel torque and rear-wheel-steering control, proposes controllers considering relevant vehicle power losses. However, available studies lack systematic analyses on: i) saving potential actuation methods, their combinations; ii) operating conditions which a set actuators is particularly effective reducing consumption. This paper targets identified...
<div class="section abstract"><div class="htmlview paragraph">The automotive industry is amidst an unprecedented multi-faceted transition striving for more sustainable passenger mobility and freight transportation. The rise of e-mobility coming along with energy efficiency improvements, greenhouse gas non-exhaust emission reductions, driving/propulsion technology innovations, a hardware-software-ratio shift in vehicle development road-based electric vehicles. Current R&amp;D...
In this paper, the effect of both passive and actively-modified vehicle handling characteristics on minimum time manoeuvring for vehicles with 4-wheel torque vectoring (TV) capability is studied. First, a baseline optimal TV strategy sought, independent any causal control law. An problem (OCP) initially formulated considering 4 wheel inputs, together steering angle rate, as variables. Using formulation, performance benefit using against an electric drive train fixed distribution,...
This paper investigates a torque-vectoring formulation for the combined control of yaw rate and hitch angle an articulated vehicle through direct moment generated on towing car. The is based single-input single-output feedback structure, in which reference car modified when incipient instability trailer detected with sensor. design controller described, including gain scheduling as function speed. performance assessed by means frequency domain phase plane analyses, compared that industrial...
This study discusses vehicle stability control based on explicit nonlinear model predictive (NMPC) and investigates the influence of prediction fidelity controller performance. The solutions are generated through an algorithm using multiparametric quadratic programming (mp-QP) approximations (mp-NLP) problems. Controllers with different models assessed objective indicators in sine-with-dwell tests. analysis considers following features: 1) lateral tire forces as functions slip angles, which...
V2X connectivity and powertrain electrification are emerging trends in the automotive sector, which enable implementation of new control solutions.Most production electric vehicles have centralized architectures consisting a single central on-board motor, single-speed transmission, an open differential, half-shafts, constant velocity joints.The torsional drivetrain dynamics wheel influenced by especially split- scenarios, i.e., with different tire-road friction coefficients on two wheels...
In vehicle dynamics, yaw rate control is used to improve the cornering response in steady-state and transient conditions. This can be achieved through an appropriate anti-roll moment distribution between front rear axles of a with controllable suspension actuators. Such action alters load transfer distribution, which turn provokes lateral tire force variation. With respect extensive set papers from literature discussing tracking active control, this study presents: i) A detailed analysis...
Road irregularities induce vertical and longitudinal vibrations of the sprung unsprung masses, which affect vehicle comfort. While dynamics related compensation techniques are extensively covered by suspension control literature, on uneven road surfaces less frequently addressed, significantly influenced tires systems. The relatively slow response internal combustion engines does not allow any form active effect irregularities. However, in-wheel electric powertrains, in conjunction with...
Recent advances in the automotive industry have incorporated latest technology vehicle electrification, with aim to reduce fuel consumption, pollutants emissions, as well enhance performance and safety. As a result, Electric Vehicles (EV) Hybrid (HEV) become imminent future, establishing important challenges systems integration control. In these vehicles, regenerative braking is currently major technique of energy recovery, providing accurate control on brake torque applied. However brakes...
Future vehicle localisation technologies enable major enhancements of dynamics control. This study proposes a novel stability control paradigm, based on pre-emptive that considers the curvature profile expected path ahead in computation reference direct yaw moment and braking action. The additional information allows trail control, which slows down if predicted speed current torque demand is deemed incompatible with trajectory ahead. Nonlinear model predictive used to implement approach,...