Battery management system for electric racing cars

With the introduction of the electrics cars into the market new technologies regarding the battery are being developed and new problems to be solved, one of them the battery management system because each type of cell requires a specific way of handling. This research is done using the active research method to find out the actual problem on this subject and features a BMS should have, understand how they work and how to develop them applied to the purpose on this work. Once the features the BMS should have are clarified, it’s possible to develop a BMS for an electric racing car. The decisions are made taking into consideration the nature of the vehicle being developed. After the project done it’s clear to see that what was developed was not only the BMS itself but all the other factors around it, such as CAN communication, safety control, diagnostics and so on.

Battery Cell Modeling for Battery Management System

Usage of batteries as energy storage is emerging in automotive and mobile working machine applications in future. When battery systems become larger, battery management becomes an essential part of the application concerning fault situations of the battery and safety of the user. A properly designed battery management system extends one charge cycle of battery pack and the whole life time of the battery pack. In this thesis main objectives and principles of BMS are studied and first order Thevenin’s model of the lithium-titanate battery cell is built based on laboratory measurements. The battery cell model is then verified by comparing the battery cell model and the actual battery cell and its suitability for use in BMS is studied.

Improved Real-time State-of-Charge Estimation of LiFePO4 Battery Based on a Novel Thermoelectric Model

Li-ion batteries have been widely used in electric vehicles, and battery internal state estimation plays an important role in the battery management system. However, it is technically challenging, in particular, for the estimation of the battery internal temperature and state-ofcharge (SOC), which are two key state variables affecting the battery performance. In this paper, a novel method is proposed for realtime simultaneous estimation of these two internal states, thus leading to a significantly improved battery model for realtime SOC estimation. To achieve this, a simplified battery thermoelectric model is firstly built, which couples a thermal submodel and an electrical submodel. The interactions between the battery thermal and electrical behaviours are captured, thus offering a comprehensive description of the battery thermal and electrical behaviour. To achieve more accurate internal state estimations, the model is trained by the simulation error minimization method, and model parameters are optimized by a hybrid optimization method combining a meta-heuristic algorithm and the least square approach. Further, timevarying model parameters under different heat dissipation conditions are considered, and a joint extended Kalman filter is used to simultaneously estimate both the battery internal states and time-varying model parameters in realtime. Experimental results based on the testing data of LiFePO4 batteries confirm the efficacy of the proposed method.

A biosignal embedded system for physiological computing

Thesis submitted in the fulfilment of the requirements for the Degree of Master in Electronic and Telecomunications Engineering

Modified particle swarm optimization for day-ahead distributed energy resources scheduling including vehicle-to-grid

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Monitorização de sistema de baterias para veículos elétricos

Uma das maiores preocupações do mundo neste momento prende-se com o facto da grande dependência do petróleo e seus aglomerados. Esta dependência causa dois problemas: novos estudos fomentam o começo da escassez deste produto, atirando para cima o preço deste material precioso, e a poluição que que este causa. Um dos sectores mais dependentes e que mais polui, é o dos transportes. Nos últimos anos, o mundo teve finalmente noção deste problema e uma das apostas neste sector é o desenvolvimento da célula de combustível, uma tecnologia que utiliza água como combustível, podendo ser reutilizada. É uma tecnologia ainda em fase de introdução pelo que, para já, a médio prazo não será solução. Uma solução intermédia é a utilização de energia elétrica como ―combustível‖. Apesar de grande parte da produção de energia elétrica ser a partir da queima de derivados de petróleo, os motores elétricos são por si só muito mais eficientes comparando com os motores de combustão. Não se vai aqui debater se são uma solução com viabilidade devido à questão da transferência da dependência do petróleo do sector dos transportes para o sector da produção de energia elétrica. O objetivo deste trabalho será desenvolver um sistema de faça a gestão do ―combustível‖ dos veículos elétricos, ou seja, baterias. Essa gestão tem como objetivo aumentar a autonomia do veículo e prolongar o tempo de vida das baterias. Na primeira fase, uma introdução à atualidade dos veículos elétricos, fazendo uma análise às diferentes soluções. Serão referidas os diferentes tipos de baterias e suas características, passando depois para exemplos de sistemas de gestão de baterias. A explicação da ideia para este sistema vem com o capítulo projeto, ficando a implementação para o capítulo seguinte.

Desenvolvimento de um Posto de Carregamento Lento com BMS e Interface com o Cockpit para o CEPIUM

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

Desenvolvimento de um BMS para aplicações de mobilidade elétrica

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

Electric propulsion system in a modern sports car

In this thesis an electric propulsion system is designed on a device level using Cadence ORCAD. The vehicle belongs to the Helsinki Metropolia University of Applied Sci-ences and it is to compete in the Automotive X-Prize competition held in the USA. In this thesis the electric propulsion system and related electric safety measures are designed. Also electro-magnetic compatibility and interferences present in the system are examined by examining the birth mechanisms and transmission paths of interference. Per device effects of interference and solutions to minimize them were examined and proposed. Suitability of permanent magnet synchronous machines for passenger vehicle use was examined by examining the torque production capability of the motor and the torque requirements of the vehicle. Also a short overview of history of electric vehicles is given.

Litium-ioniakun tasapainon hallinta

Nykyaikaisen liikkuvan sähkökäytön energianlähteenä voi toimia jopa sadoista yksittäisistä sarjaankytketyistä litium-ionikennoista muodostuva akusto. Luotettaviin mittauksiin perustuva valvonta ja käytönohjaus on erityisen tärkeää litium-ioniakuissa, jotka ovat herkkiä yli- ja alijännitteille sekä korkeille lämpötiloille. Monipuolinen hallintajärjestelmä auttaa hyödyntämään akun koko kapasiteetin sekä säilyttämään akun suorituskyvyn estämällä väärinkäytön. Tässä työssä keskitytään tarkastelemaan monikennoisten litium-ioniakkujen sovelluksissa ilmeneviä haasteita sekä eri julkaisuissa esitettyjä ratkaisumalleja akun tasapainon hallitsemiseksi.

Sähköajoneuvojen akkujen uusiokäyttö

Tässä kandidaatintyössä tutkittiin sähkö- ja hybridiajoneuvojen akkujen uusiokäyttöä. Tutkimus toteutettiin kirjallisuustyönä. Tavoitteena oli selvittää voidaanko sähkö- ja hybridiajoneuvojen akkuja uusiokäyttää, mitä ongelmia mahdollisesti uusiokäyttöön liittyy, minkälaisissa sovelluksissa käytettyjä akkuja voisi käyttää ja uusiokäytetäänkö kyseisenlaisia akkuja jo nykyään. Työssä esiteltiin myös yleisimpiä akkutekniikoita sekä niiden kierrätystä. Tutkimuksessa havaittiin, että akuissa on runsaasti kapasiteettia jäljellä ajoneuvokäytön jälkeen. Uusiokäytössä akku voi kestää jopa yhtä paljon käyttöä kuin ajoneuvokäytössä. Ongelmat uusiokäytössä liittyvät akkujen vaihtelevaan kuntoon ja kapasiteettiin. Ennen uusiokäyttöä akut tulisi tarkastaa ja jos mahdollista, poistaa huonokuntoiset ja vialliset kennot. Käytettyjen akkujen uusiokäyttöön soveltuvista laitteistoista on tehty muutamia prototyyppejä, jotka ovat teholtaan ja kapasiteetiltaan hyvin vaihtelevia. Sopivalla valvontajärjestelmällä varustettuna käytettyjä akkuja voitaneen käyttää myös olemassa olevissa, akkuja sisältävissä järjestelmissä. Käytettyjä akkuja voitaneen käyttää muun muassa uusiutuvan energian varastointiin, sähköverkon kulutushuippujen kompensointiin ja sähköajoneuvojen pikalatauksen puskurina. Etenkin litiumioniakkujen uusiokäyttö on järkevää, koska kierrätys ei ole kovin tehokasta ainakaan vielä.

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.

Algoritmo di stima degli stati di carica e salute per batterie al litio mediante filtro di Kalman duale

L’obiettivo di questa tesi è lo studio dell’applicazione del filtro di Kalman Duale per la stima dei principali parametri di batteria. Si è realizzato un algoritmo che consente la stima del SoC e dei parametri basandosi su riferimenti di tensione provenienti da modelli matematici e da prove di laboratorio. La scelta del Kalman duale consente uno studio più completo dei parametri di batteria visto che permette di operare su circuiti equivalenti più complessi con maggiori informazioni sull’evoluzione della batteria nel tempo. I risultati dimostrano l’efficacia del DEKF nello stimare la tensione e lo stato di carica con errori minori rispetto a precedenti test effettuati con altri filtri di Kalman. Si ha però una difficoltà alla convergenza su alcuni parametri a causa dell’elevato carico computazionale che porta ad un aumento del rumore. Perciò, per studi futuri si dovrà aumentare la precisione con cui la stima duale opera sulla matrice dei parametri del circuito equivalente. Questo porterà a migliori prestazioni anche su circuiti più complessi.

Smart charging management for electric vehicle battery chargers

This paper proposes a smart battery charging strategy for Electric Vehicles (EVs) targeting the future smart homes. The proposed strategy consists in regulate the EV battery charging current in function of the total home current, aiming to prevent overcurrent trips in the main switch breaker. Computational and experimental results were obtained under real-time conditions to validate the proposed strategy. For such purpose was adapted a bidirectional EV battery charger prototype to operate in accordance with the aforementioned strategy. The proposed strategy was validated through experimental results obtained both in steady and transient states. The results show the correct operation of the EV battery charger even under heavy load variations.

A study of reverse logistics flow management in vehicle battery industries in the midwest of the state of São Paulo (Brazil)

Having the objective of minimizing costs and improving their image in the consumer and export market, car battery industries began to seek environmental alternatives geared towards sustainable development. Reverse logistics flow represents an unprecedented tool for the economic and operational development of company activities, as well as a differential in the search for competitive advantages through environmentally correct practices. The aim of this paper is to describe the reverse logistics chain adopted by automotive battery industries in the midwest of the state of São Paulo, proposing a reverse logistics framework for small manufacturers that creates actions aimed at not harming the environment. (C) 2010 Elsevier Ltd. All rights reserved.