An Averaging Battery Model for a Lead-acid Battery Operating in an Electric Car PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An Averaging Battery Model for a Lead-acid Battery Operating in an Electric Car PDF full book. Access full book title An Averaging Battery Model for a Lead-acid Battery Operating in an Electric Car by John M. Bozek. Download full books in PDF and EPUB format.
Author: John M. Bozek
Publisher:
ISBN:
Category : Electric vehicles
Languages : en
Pages : 24
Get Book Here
Book Description
Author: John M. Bozek
Publisher:
ISBN:
Category : Electric vehicles
Languages : en
Pages : 24
Get Book Here
Book Description
Author: Gabriel Worman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Batteries degrade over time, so estimating their state of health (SoH) is critical to proper functioning of battery packs. Electric vehicles (EVs) in particular, can stall if the battery pack does not provide sufficient voltage to operate the electric motors (Vmin). The battery voltage depends on its state of charge (SoC), capacity (Q), internal resistance (IR), and discharge current (I). SoC and I are dynamic functions of time that vary during driving. Q and IR slowly change over time due to cell temperature and aging. In this work, three parameters associated with battery SoH are estimated from EV lab and field data, Q, IR, and cyclic Vmin. The data are collected from golf cars powered by six 8 V valve regulated lead-acid absorbent glass mat batteries. One EV is tested in a lab environment and the others are in use at a golf course. Data are sampled every five minutes for eight months and include max, min, average and instantaneous voltage and current, integrated current, and temperature. Q is estimated using discharge SoC and current throughput. IR is estimated using voltage and current during charging and compensated for temperature variations. Finally, the cyclic minimum voltage is tracked. The field and lab test data show aging trends for each of the three SoH parameters. Linear approximations are applied to these trends, with low mean absolute errors (MAE) seen for all batteries. Average MAE for Q is 11.83 Ah, with a standard deviation of 2.56 Ah. Average MAE for Vmin is 0.14 V, with a standard deviation of 0.064 V. Average MAE for IR is 3.31 m$\Omega$ with a standard deviation of 0.73 m$\Omega$. The lab data show similar trends, but with much smaller MAE.
Author: John G. Ewashinka
Publisher:
ISBN:
Category :
Languages : en
Pages : 30
Get Book Here
Book Description
Author: Robert L. Cataldo
Publisher:
ISBN:
Category : Electric automobiles
Languages : en
Pages : 22
Get Book Here
Book Description
The preliminary results of simulated electric vehicle, chopper, speed controller discharge of a battery show energy output losses up to 25 percent compared to constant current discharges at the same average discharge current of 100 amperes. These energy losses are manifested as temperature rises during discharge, amounting to a two-fold increase for a 400-ampere pulse compared to the constant current case. Because of the potentially large energy inefficiency, the results suggest that electric vehicle battery /speed controller interaction must be carefully considered in vehicle design.
Author: British Standards Institution
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 28
Get Book Here
Book Description
Author: Jürgen Garche
Publisher: Elsevier
ISBN: 0444637036
Category : Technology & Engineering
Languages : en
Pages : 708
Get Book Here
Book Description
Lead-Acid Batteries for Future Automobiles provides an overview on the innovations that were recently introduced in automotive lead-acid batteries and other aspects of current research. Innovative concepts are presented, some of which aim to make lead-acid technology a candidate for higher levels of powertrain hybridization, namely 48-volt mild or high-volt full hybrids. Lead-acid batteries continue to dominate the market as storage devices for automotive starting and power supply systems, but are facing competition from alternative storage technologies and being challenged by new application requirements, particularly related to new electric vehicle functions and powertrain electrification. Presents an overview of development trends for future automobiles and the demands that they place on the battery Describes how to adapt LABs for use in micro and mild hybrid EVs via collector construction and materials, via carbon additives, via new cell construction (bipolar), and via LAB hybrids with Li-ion and supercap systems System integration of LABs into vehicle power-supply and hybridization concepts Short description of competitive battery technologies
Author:
Publisher:
ISBN: 9780968211847
Category :
Languages : en
Pages : 360
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 28
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 368
Get Book Here
Book Description
Author: John Turner
Publisher: SAE International
ISBN: 076808282X
Category : Science
Languages : en
Pages : 98
Get Book Here
Book Description
Modeling and simulation of batteries, in conjunction with theory and experiment, are important research tools that offer opportunities for advancement of technologies that are critical to electric motors. The development of data from the application of these tools can provide the basis for managerial and technical decision-making. Together, these will continue to transform batteries for electric vehicles. This collection of nine papers presents the modeling and simulation of batteries and the continuing contribution being made to this impressive progress, including topics that cover: • Thermal behavior and characteristics • Battery management system design and analysis • Moderately high-fidelity 3D capabilities • Optimization Techniques and Durability As electric vehicles continue to gain interest from manufacturers and consumers alike, improvements in economy and affordability, as well as adoption of alternative fuel sources to meet government mandates are driving battery research and development. Progress in modeling and simulation will continue to contribute to battery improvements that deliver increased power, energy storage, and durability to further enhance the appeal of electric vehicles.
