Browsing by Author "Longo, Stefano"

Browsing by Author "Longo, Stefano"

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  • An accelerometer based-feedback technique for improving dynamic performance of a machine tool 
    Abir, Jonathan; Morantz, Paul; Longo, Stefano; Shore, Paul (European Society for Precision Engineering and Nanotechnology, 2016-06-30)
    A novel concept for improving machine dynamic performance was developed and realised, a virtual metrology frame, for a small size CNC machine with flexible frame. Its implementation in a simplified linear motion system ...
  • Accuracy versus simplicity in online battery model identification 
    Fotouhi, Abbas; Auger, Daniel J.; Propp, Karsten; Longo, Stefano (IEEE, 2016-09-22)
    This paper presents a framework for battery modeling in online, real-time applications where accuracy is important but speed is the key. The framework allows users to select model structures with the smallest number of ...
  • Comparative analysis of forward-facing models vs backward-facing models in powertrain component sizing 
    Mohan, Ganesh; Assadian, Francis; Longo, Stefano (Institution of Engineering and Technology, 2013-11-11)
    Powertrain size optimisation based on vehicle class and usage profile is advantageous for reducing emissions. Backward-facing powertrain models, which incorporate scalable powertrain components, have often been used for ...
  • Constrained LQR for Low-Precision Data Representation 
    Longo, Stefano; Kerrigan, Eric C.; Constantinides, George A. (Elsevier Science B.V., Amsterdam., 2014-01-24)
    Performing computations with a low-bit number representation results in a faster implementation that uses less silicon, and hence allows an algorithm to be implemented in smaller and cheaper processors without loss of ...
  • Control for motion sickness minimisation in autonomous vehicles. 
    Htike, Zaw Lin (Cranfield UniversitySATM, 2021-06)
    Automated vehicles are expected to push towards the evolution of transportation systems and exploit the use of vehicular technologies. This thesis investigates the fundamentals of motion planning for minimising motion ...
  • Controllability, observability in networked control 
    Longo, Stefano; Herrmann, Guido; Barber, Phil (Elsevier, 2009-06-18)
    We reconsider and advance the analysis of structural properties (controllability and observability) of a class of linear Networked Control Systems (NCSs). We model the NCS as a periodic system with limited communication ...
  • Cost functions for degradation control of electric motors in electric vehicles 
    Samaranayake, Lilantha; Longo, Stefano (Institute of Electrical and Electronics Engineers, 2015-11-16)
    This paper introduces a novel set of electric motor degradation cost functions based on energy usage, energy loss and work output, against their continuous operation rated values recommended by the manufacturer. Unlike ...
  • Degradation control for electric vehicle machines using nonlinear model predictive control 
    Samaranayake, Lilantha; Longo, Stefano (IEEE, 2017-01-17)
    Electric machines (motors and generators) are over actuated systems. In this paper, we show how to exploit this actuation redundancy in order to mitigate machine degradation while simultaneously ensuring that the desired ...
  • Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies 
    Fotouhi, Abbas; Auger, Daniel J.; Propp, Karsten; Longo, Stefano (The Institution of Engineering and Technology, 2017-07-06)
    In this study, battery model identification is performed to be applied in electric vehicle battery management systems. Two case studies are investigated: nickel-metal hydride (NiMH), which is a mature battery technology, ...
  • Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies 
    Fotouhi, Abbas; Auger, Daniel J.; Propp, Karsten; Longo, Stefano (IET, 2016-04-21)
    In this study, a framework is proposed for battery model identification to be applied in electric vehicle energy storage systems. The main advantage of the proposed approach is having capability to handle different battery ...
  • Energy-aware MPC co-design for DC-DC converters 
    Suardi, Andrea; Longo, Stefano; Kerrigan, Eric C.; Constantinides, George A. (Institute of Electrical and Electronics Engineers, 2013-07-22)
    In this paper, we propose an integrated controller design methodology for the implementation of an energy-aware explicit model predictive control (MPC) algorithms, illustrat- ing the method on a DC-DC converter model. The ...
  • ENERWATER – A standard method for assessing and improving the energy efficiency of wastewater treatment plants 
    Longo, Stefano; Mauricio-Iglesias, Miguel; Soares, Ana; Campo Moreno, Pablo; Fatone, Francesco; Eusebi, Anna L.; Akkersdijk, E; Stefani, L.; Hospido, Almudena (Elsevier, 2019-03-21)
    This paper describes the first methodology specifically tailored to estimate energy efficiency at wastewater treatment plants (WWTPs). Inspired by the cycle of continuous improvement, the method (i) precisely defines the ...
  • Feedback brake distribution control for minimum pitch 
    Tavernini, Davide; Velenis, Efstathios; Longo, Stefano (Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2017-03-03)
    The distribution of brake forces between front and rear axles of a vehicle is typically specified such that the same level of brake force coefficient is imposed at both front and rear wheels. This condition is known as ...
  • A framework for self-enforced optimal interaction between connected vehicles 
    Stryszowski, Marcin; Longo, Stefano; D'Alessandro, Dario; Velenis, Efstathios; Forostovsky, Gregory; Manfredi, Sabato (IEEE, 2020-05-06)
    This paper proposes a decision-making framework for Connected Autonomous Vehicle interactions. It provides and justifies algorithms for strategic selection of control references for cruising, platooning and overtaking. The ...
  • Fundamentals of motion planning for mitigating motion sickness in automated vehicles 
    Htike, Zaw; Papaioannou, Georgios; Siampis, Efstathios; Velenis, Efstathios; Longo, Stefano (IEEE, 2021-12-28)
    This paper investigates the fundamentals of motion planning for minimizing motion sickness in transportation systems of higher automation levels. The optimum velocity profile is sought for a predefined road path from a ...
  • Fuzzy logic control for energy saving in autonomous electric vehicles 
    Al-Jazaeri, Ahmed O.; Samaranayake, Lilantha; Longo, Stefano; Auger, Daniel J. (IEEE, 2015-03-06)
    Limited battery capacity and excessive battery dimensions have been two major limiting factors in the rapid advancement of electric vehicles. An alternative to increasing battery capacities is to use better: intelligent ...
  • A hardware-in-the-loop test rig for development of electric vehicle battery identification and state estimation algorithms 
    Fotouhi, Abbas; Propp, Karsten; Samaranayake, Lilantha; Auger, Daniel J.; Longo, Stefano (Inderscience, 2018-03-01)
    This paper describes a hardware-in-the-loop (HIL) test rig for the test and development of electric vehicle battery parameterisation and state-estimation algorithms in the presence of realistic real-world duty cycles. The ...
  • Human-like motorway lane change trajectory planning for autonomous vehicles. 
    Chang, Chun-Wei (2019-10)
    The human lifestyle can be foreseen to have a tremendous change once the automation of transportation has been fully realised. The majority of current researches merely focus on improving the efficiency ...
  • Impact of battery ageing on an electric vehicle powertrain optimisation 
    Auger, Daniel J.; Groff, Maxime F.; Mohan, Ganesh; Longo, Stefano; Assadian, Francis (International Centre for Sustainable Development of Energy, Water and Environment Systems, 2014-12-01)
    An electric vehicle’s battery is its most expensive component, and it cannot be charged and discharged indefinitely. This affects a consumer vehicle’s end-user value. Ageing is tolerated as an unwanted operational side-effect; ...
  • Improved state of charge estimation for lithium-sulfur batteries 
    Propp, Karsten; Auger, Daniel J.; Fotouhi, Abbas; Marinescu, Monica; Knap, Vaclav; Longo, Stefano (Elsevier, 2019-10-23)
    Good state of charge estimation in lithium-sulfur batteries (Li-S) is vital, as the simplest convention methods commonly used in lithium-ion batteries – open-circuit voltage measurement and ‘coulomb counting’–are often ...