46 research outputs found

    Performance Optimization of Onboard Lithium Ion Batteries for Electric Vehicles

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    Next generation of transportation in the form of electric vehicles relies on better operation and control of large battery packs. The individual modules in large battery packs generally do not have identical characteristics and may degrade differently due to manufacturing variability and other factors. Degraded battery modules waste more power, affecting the performance and economy for the whole battery pack. Also, such impact varies with different trip patterns. It will be cost effective if we evaluate the performance of the battery modules prior to replacing the complete battery pack. The knowledge of the driving cycle and battery internal resistance will help to make decision to replace the worst battery modules and directly cut down on user expenditure to replace the battery. Also, optimizing the performance of battery during the driving trip is the challenging task to achieve. The knowledge of energy prices of the grid, internal resistance of the lithium ion battery pack on the electric vehicle, the age of the battery and distance travelled by the electric vehicle are very important factors on which the cost of daily driving cycle is dependent. In near future, the energy consumed by the electric vehicles will create a major consumer market for the smart grids. The smart grid system is complemented by the renewable energy sources that contribute and support the grid. The electric vehicles are not only predicted as energy consumers but also as dynamic sources of energy. These vehicles can now travel more than 100 miles with a single charging cycle whereas average day to day commute is well below the maximum capacity of these vehicles. This leaves the driver with the extra energy on the battery pack which can be used later for supporting energy requirement from the grid. As we know that cells/modules in large battery packs do not have identical properties and these degrade at different rates during the course of their lifespan. It is beneficial for the user to quantify the amount of energy that can be used to support the grid. The improvement of the electric grid to the next generation infrastructure ie ‘Smart Grid’ will enable diverse opportunities to contribute the energy and balance the load on the grid. The information about the grid like price quality, load etc will be available to the people very easily. This information can be useful to make the energy grid more economical and environment friendly. We have used the information for price of energy on the grid to optimize the cost of daily driving cycle. The goal of this research is to accurately predict the battery behavior for the daily driving cycle. The prediction of battery behavior will help the driver to decide the optimum charging patterns, energy consumed during driving and the surplus energy available in the batteries. The prior knowledge of the battery behavior, price of the energy on the grid and the trip travel will help the driver to minimize the cost of travel on daily basis as well as throughout the life of the battery

    Effects of Internal Resistance on Performance of Batteries for Electric Vehicles

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    ABSTRACT Effects of Internal Resistance on Performance of Batteries for Electric Vehicles by Rohit A Ugle The University of Wisconsin-Milwaukee, 2013 Under the Supervision of Professor Anoop K. Dhingra An ever increasing acceptance of electric vehicles as passenger cars relies on better operation and control of large battery packs. The individual cells in large battery packs do not have identical characteristics and may degrade differently due to their manufacturing variability and other factors. It is beneficial to evaluate the performance gain by replacing certain battery modules/cells during actual driving. The following are the objectives of our research. We will develop an on-line battery module degradation diagnostic scheme using the intrinsic signals of a battery pack equalization circuit. Therefore, a battery health map can be constructed and updated in real time. Next based on the derived battery health map, the performance of the battery pack will be evaluated a user specified trip so as to evaluate the worthiness of replacing certain modules/cells. Different electric vehicles have different performance for the same driving cycle. These variations are due to variation in driving patterns, traffic, different light patterns, random behavior of the drivers etc. To account for this random behavior of the electric vehicle performance we generate 100 random trip cycles. We aim to model the behavior of the driving cycle and battery behavior. Finally, the thesis also explores the possibility of energy exchange between the battery packs and the smart grid. In the smart grid scenario where we have the knowledge of the electricity price and the load patterns on the grid, it is beneficial for the user to schedule charging and discharging patterns for electric vehicles. Our research will define charging and discharging patterns throughout the life of the battery. We will optimize the charging and discharging times and define the opportunity cost for each day during summer and winter months. The objective is to maximize the profit earned by selling excess energy in the battery to the grid and minimize the charging cost for the electric vehicle

    Altered triglycerides and HDL-c are better marker for coronary heart disease in NIDDM

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    Background: Abnormalities that characterizes lipoprotein metabolism in non insulin dependent diabetes mellitus (NIDDM) patients, fasting concentration of triglycerde rich lipoprotein especially very low density lipoprotein (VLDL) are higher, and those of HDL, commonly measured as HDL-c, are lower than among people without diabetes, which leads to increased triglyceride HDL-c ratio and insulin resistance. This type of diabetic dyslipidaemia is major cause of endothelial damage and thus coronary heart disease (CHD).Methods: The study was carried at the Central Clinical Laboratory MIMSR Medical college Latur , NIDDM patient were selected after attending Medicine OPD MIMSR Medical college Latur, the lipid profile of 50 diabetic patients and 50 healthy subjects were determined and compared.Results: In the control group I mean values of total cholesterol were 175.55 ± 29.87 mg %, LDL-c 110.60 ± 28.73 mg % , serum triglycerides were 108.39 ± 39.62 mg %,HDL-c were 44.45 ± 6.7 mg% and In the group II serum triglycerides 145.68 ± 68.94 mg% and were significantly increased as compared to group I. The serum HDL-c group II 41.46 ± 6.6 mg % were significantly decreased as compared to group I (P is <0.05).Conclusions: A characteristic feature of NIDDM is the elevated triglycerides and lowered HDL-c levels, which leads to insulin resistance and CHD.

    Considering the Need for Congruence in Closing the Gap, Target 10: Reducing High Rates of Adult Aboriginal Incarceration

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    The federal and Western Australia (WA) state governments have made a national commitment to reducing high rates of Aboriginal adults held in incarceration, using, respectively, justice reinvestment and bureaucratic inclusion of Aboriginal representatives and organisations. This aspiration is also being pursued by an Aboriginal team who seek to establish a place-based Aboriginal justice support service in a WA regional town. The proposed service is underpinned by a combination of justice reinvestment and restorative justice principles and aims to use peer support workers who will effectively increase community agency in justice matters. This article examines congruence between federal, state and local initiatives to achieve Target 10 through the lens of the Aboriginal team’s efforts to deliver a place-based service. The article determines that the multi-level efforts are not intersecting in their corresponding efforts to achieve Target 10 and will likely result in failure or frustration. The article concludes with the recommendation of creating congruence in communication and dialogue to increase the likelihood of reduced Aboriginal incarceration rates in regional settings

    pH of soil of Majalgaon command area (Jayakwadi project stage-III), India

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    Present paper deals with the study of pH of soil of Majalgoan command area, India. pH varied from 7.55 to 8.98 in different soil types and showed increased trend with depth in most of the profiles

    The Koolungar Moorditj Healthy Skin Project: Elder and Community Led Resources Strengthen Aboriginal Voice for Skin Health

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    In partnership with local Aboriginal Community Controlled Health Organisations, the Elder-led co-designed Koolungar Moorditj Healthy Skin project is guided by principles of reciprocity, capacity building, respect, and community involvement. Through this work, the team of Elders, community members, clinicians and research staff have gained insight into the skin health needs of urban-living Aboriginal koolungar (children); and having identified a lack of targeted and culturally appropriate health literacy and health promotion resources on moorditj (strong) skin, prioritised development of community-created healthy skin resources. Community members self-appointed to Aboriginal Community Advisory Groups (CAG) on Whadjuk (Perth) and Wardandi (Bunbury) boodjar (land/place) provided local leadership and led the development of moorditj skin resources. Over several online and face-to-face meetings facilitated by an Aboriginal project officer, CAG members shared local perspectives and cultural knowledge to develop and inform the messaging, medium, and dissemination of health literacy and health promotion resources for healthy skin. All CAG-created research approaches, resources and materials were presented to the Elder Researchers for discussion, final review, and implementation by the project team. Culturally appropriate moorditj skin resources, designed by community for community, build on knowledge of healthy skin to achieve moorditj skin and moorditj health for urban-living Aboriginal koolungar

    A Travelling Wave Slot Array based on a Double-Layer Lens for 77 GHz Automotive Radar

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    Automotive radars have gained considerable interest in recent years for applications of road safety for vulnerable road users. The use of multipleinput and multiple-output (MIMO) technology in automotive radar has helped in realising a virtual aperture greater than the physical aperture of the antenna which has reduced the size of the overall radar module. But increasing the number of MIMO channels for greater angular resolution can introduce increased computational complexity, processing time and latency. A new type of radar using the multiple input multiple steered output (MIMSO) radar can alleviate these concerns by replacing the angle-FFT with beamforming by means of a lens. A double-layer lens with a beamforming layer and a radiating layer with a radiating aperture on the 2-D footprint of the lens is proposed as an antenna system for this new radar technique. This work focuses on the radiating aperture which has been realised as a travelling wave planar slotted array in gap waveguide technology due to its benefit of low losses and ease of manufacturing. A ridged gap waveguide is chosen for the reduction of the waveguide size and to avoid the appearance of grating lobes in the visible range for large scan angles. The planar slotted array is synthesised in the travelling wave configuration and reflection cancelling notches are used in the ridge to cancel the reflections from the slots. The aperture is chosen to be of a circular shape for a compact design and to maximise aperture efficiency. The planar array is verified with a full-wave simulation with a bandwidth of 76 to 81 GHz and a realised gain of 27.7 dBi at the centre frequency. The array can be scanned up to ±50◦ with a scan loss of 2.4 dBi.Fordonsradarer har fått stort intresse under de senaste åren för tillämpningar av trafiksäkerhet för utsatta trafikanter. Användningen av MIMO-teknik (multipleinput och multiple-output) i bilradar har hjälpt till att realisera en virtuell bländaröppning som är större än antennens fysiska bländaröppning, vilket har minskat storleken på den totala radarmodulen. Men att öka antalet MIMOkanaler för större vinkelupplösning kan introducera ökad beräkningskomplexitet, bearbetningstid och latens. En ny typ av radar som använder MIMSO-radarn (multiple input multiple steered output) kan lindra dessa problem genom att ersätta vinkel-FFT med strålformning med hjälp av en lins. En dubbelskiktslins med ett strålformande skikt och ett strålande skikt med en strålande bländare på linsens 2D-fotavtryck föreslås som ett antennsystem för denna nya radarteknik. Detta arbete fokuserar på strålningsöppningen som har realiserats som en plan slitsad array i gap-vågledarteknologi på grund av dess fördel med låga förluster och enkel tillverkning. En vågledare med räfflade gap väljs för att minska vågledarstorleken och för att undvika uppkomsten av gitterlober i det synliga området för stora avsökningsvinklar. Den plana uppsättningen syntetiseras i den vandringsvågkonfigurationen och reflektionsupphävande skåror används i åsen för att eliminera reflektionerna från slitsarna. Bländaren är vald för att ha en cirkulär form för en kompakt design och för att maximera bländareffektiviteten. Planar arrayen verifieras med en helvågssimulering med en bandbredd på 76 till 81 GHz och en realiserad vinst på 27, 7 dBi vid mittfrekvensen. Arrayen kan skannas upp till ±50◦ med en skanningsförlust på 2, 4 dBi

    Statistical Tools Driven Science Policy Interface for Strengthening Biodiversity and Ecosystem Services

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    In lieu of ever so evolving landscapes, there is a constant pressure on biodiversity and the myriad of ecosystem services it offers. In order to strengthen science policy interface for biodiversity and ecosystem services for conservation of human well-being, nexus between biodiversity and conservation and sustainable development varied statistical tools are applied. Science policy interface with the Science Based Target Initiative is a evolving landscapes in ecosystem based restoration framework. Aligning it with statistical tools further adds to dynamics for ecosystem management. The statistical tool includes : Good Quality of Life (GQL) = Human Wellbeing and factor is under pressure and indicated as P* - Percentage of undernourished populace ; Nature Contributions to People (NCP) = Ecosystem Goods Services - impacted where in two factors are considered – being at risk, not at risk, unknown level of risk extinction.</jats:p
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