TENDENCIA THATCHERITIS OR ENGLISHNESS REMADE: The Fictions of Julian Barnes, Hanif Kureishi and Pat Barker

Julian Barnes, Pat Barker, and Hanif Kureishi are all canonical authors whose fictions are widely believed to reflect the cultural and political state of a nation that is post-war, post-imperial and post-modern. While much has been written on how Barker’s and Kureishi’s early works in particular respond to and intervene in the presiding political narrative of the 1980s – Thatcherism – treatment of how revenants of Thatcherism have shaped these writers’ works from 1990 on has remained cursory. Thatcherism is more than an obvious historical reference point for Barker, Barnes, and Kureishi; their works demonstrate a sophisticated understanding of how Thatcher’s reworkings of the repertoires of Englishness – a representational as well as political and cultural endeavour – persist beyond her time in office. Barnes, Barker, and Kureishi seem to have reached the same conclusion as political and cultural critics: Thatcher and Thatcherism have remade not only the contemporary political and cultural landscapes but also the electorate and consequently the English themselves. Tony Blair’s conception of the New Britain proved less than satisfactory because contemporary repertoires of Englishness repeat and rework historical and not incidentally imperial formulations of England and Englishness rather than envision civic and populist formulations of renewal. Barnes’s England, England and Arthur & George confront the discourse of inevitability that has come to be attached to contemporary formulations of both political and cultural Englishness – both in terms of its predictable demise and its belated celebration. Kureishi’s The Buddha of Suburbia and “The Body” speak to an alteration that has taken place in which historical Englishness and Thatcherism have become complementary rather than contrasting discourses. What Barker’s Border Crossing and Double Vision offer against this backdrop is a subtle interrogation of how renewal itself comes to be a presiding mode of cultural reflection that absorbs revolutionary possibility.

A NOVEL MODELING AND STATE OF CHARGE ESTIMATION SCHEME FOR LITHIUM-ION BATTERIES

Lithium Ion (Li-Ion) batteries have got attention in recent decades because of their undisputable advantages over other types of batteries. They are used in so many our devices which we need in our daily life such as cell phones, lap top computers, cameras, and so many electronic devices. They also are being used in smart grids technology, stand-alone wind and solar systems, Hybrid Electric Vehicles (HEV), and Plug in Hybrid Electric Vehicles (PHEV). Despite the rapid increase in the use of Lit-ion batteries, the existence of limited battery models also inadequate and very complex models developed by chemists is the lack of useful models a significant matter. A battery management system (BMS) aims to optimize the use of the battery, making the whole system more reliable, durable and cost effective. Perhaps the most important function of the BMS is to provide an estimate of the State of Charge (SOC). SOC is the ratio of available ampere-hour (Ah) in the battery to the total Ah of a fully charged battery. The Open Circuit Voltage (OCV) of a fully relaxed battery has an approximate one-to-one relationship with the SOC. Therefore, if this voltage is known, the SOC can be found. However, the relaxed OCV can only be measured when the battery is relaxed and the internal battery chemistry has reached equilibrium. This thesis focuses on Li-ion battery cell modelling and SOC estimation. In particular, the thesis, introduces a simple but comprehensive model for the battery and a novel on-line, accurate and fast SOC estimation algorithm for the primary purpose of use in electric and hybrid-electric vehicles, and microgrid systems. The thesis aims to (i) form a baseline characterization for dynamic modeling; (ii) provide a tool for use in state-of-charge estimation. The proposed modelling and SOC estimation schemes are validated through comprehensive simulation and experimental results.