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MULTICELL VOLTAGE MONITROING FOR LITHIUM
BATTERY PACK IN ELECTRIC VEHICLES
PROJECT BY
K.MANJUSHA (812621415004)
GUIDED BY
Mr.R.RAMANATHAN ASP/EEE
ABSTRACT
Lithium-ion battery has emerged as a favored choice, however its energy density
is still orders of magnitude lower than the fos- sil fuel.
The objective of this thesis is to automate the design optimization of the lithium-
ion battery pack.
To achieve this goal three separate optimization problems were formulated to
provide guidelines on the cell parame- ters at optimal solutions.
The single cell design optimization is able to quantify the variations of
morphological parameters as a constant active mass ratio
The plug- in hybrid vehicle battery design demonstrates an automated design
process that considers realistic performance constraints
 The multi-cell design approach mini- mizes the battery pack mass by utilizing
separate cell designs to satisfy different constraints.
LITERATURE SURVEY
 REVIEW OF BATTERY MODELING
In the automotive industry, reducing greenhouse gas emissions is the most
important issue. By using electric vehicles, greenhouse gas emission could be
reduced; furthermore, the electricity distribution system would also be affected.
 SHEPHERD MODEL
Clarence M. Shepherd proposed a battery model [4] in 1965. In his work, he
derived an equation that described the discharging processes of different cells
by calculating the cell potential during discharge, which is a function of
discharge time, current density, and other factors.
 TREMBLAY MODEL
Olivier Tremblay presented an easy-to-use battery model using dynamic
simulation software [5]. To avoid the problem of forming an algebraic loop,
this model only used the SOC of the battery as a state variable.
INTRODUCTION
As an increasing number of people use public and personal transportation, the amount
of air pollution increases every single day.
The battery management system is one of the most important components,
especially when using lithium-ion batteries.
The lead-acid, nickel-metal hydride and lithium-ion batteries.
Lithium-ion batteries have a number of advantages over the other two types of
batteries, and they perform well if they are operated using an effective battery
management system.
Using lithium as the anode, rechargeable batteries could provide high voltage,
excellent capacity and a remarkably high-energy density
EXISTING SYSTEM
 They also have a high power-to-weight ratio, high energy efficiency, good
high-temperature performance, and low self-discharge.
 Most components of lithium-ion batteries can be recycled, but the cost of
material recovery remains a challenge for the industry.
 Energy storage systems, usually batteries, are essential for all-electric vehicles,
plug-in hybrid electric vehicles (PHEVs), and hybrid electric vehicles (HEVs).
 The lithium-ion battery requires almost no maintenance during its lifecycle,
which is an advantage that other batteries do not have.
 No scheduled cycling is required, and there is no memory effect in the battery.
PROPOSED SYSTEM

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MULTICELL VOLTAGE MONITROING FOR LITHIUM BATTERY PACK IN ELECTRIC VEHICLES.pptx

  • 1. MULTICELL VOLTAGE MONITROING FOR LITHIUM BATTERY PACK IN ELECTRIC VEHICLES PROJECT BY K.MANJUSHA (812621415004) GUIDED BY Mr.R.RAMANATHAN ASP/EEE
  • 2. ABSTRACT Lithium-ion battery has emerged as a favored choice, however its energy density is still orders of magnitude lower than the fos- sil fuel. The objective of this thesis is to automate the design optimization of the lithium- ion battery pack. To achieve this goal three separate optimization problems were formulated to provide guidelines on the cell parame- ters at optimal solutions. The single cell design optimization is able to quantify the variations of morphological parameters as a constant active mass ratio The plug- in hybrid vehicle battery design demonstrates an automated design process that considers realistic performance constraints  The multi-cell design approach mini- mizes the battery pack mass by utilizing separate cell designs to satisfy different constraints.
  • 3. LITERATURE SURVEY  REVIEW OF BATTERY MODELING In the automotive industry, reducing greenhouse gas emissions is the most important issue. By using electric vehicles, greenhouse gas emission could be reduced; furthermore, the electricity distribution system would also be affected.  SHEPHERD MODEL Clarence M. Shepherd proposed a battery model [4] in 1965. In his work, he derived an equation that described the discharging processes of different cells by calculating the cell potential during discharge, which is a function of discharge time, current density, and other factors.  TREMBLAY MODEL Olivier Tremblay presented an easy-to-use battery model using dynamic simulation software [5]. To avoid the problem of forming an algebraic loop, this model only used the SOC of the battery as a state variable.
  • 4. INTRODUCTION As an increasing number of people use public and personal transportation, the amount of air pollution increases every single day. The battery management system is one of the most important components, especially when using lithium-ion batteries. The lead-acid, nickel-metal hydride and lithium-ion batteries. Lithium-ion batteries have a number of advantages over the other two types of batteries, and they perform well if they are operated using an effective battery management system. Using lithium as the anode, rechargeable batteries could provide high voltage, excellent capacity and a remarkably high-energy density
  • 5. EXISTING SYSTEM  They also have a high power-to-weight ratio, high energy efficiency, good high-temperature performance, and low self-discharge.  Most components of lithium-ion batteries can be recycled, but the cost of material recovery remains a challenge for the industry.  Energy storage systems, usually batteries, are essential for all-electric vehicles, plug-in hybrid electric vehicles (PHEVs), and hybrid electric vehicles (HEVs).  The lithium-ion battery requires almost no maintenance during its lifecycle, which is an advantage that other batteries do not have.  No scheduled cycling is required, and there is no memory effect in the battery.