Week 5 Challenge

(Q1)

A battery or a UC (ultra-capacitor) is a better choice for supplying power in an aggressive driving scenario, as the suitability of each technology depends on a variety of factors including the specific characteristics of the battery or UC, the power and energy requirements of the vehicle, and the nature of the driving cycle.

In general, batteries are better suited for applications that require higher energy densities and longer discharge times, while UCs are better suited for applications that require high power densities and short discharge times.

In an aggressive driving scenario where the driver is frequently accelerating and braking, the power demands on the energy storage system are likely to be very high and very variable. In such a scenario, a UC may be better suited to supply the rapid bursts of power needed for acceleration and braking, as they are capable of delivering high power densities quickly.

However, if the aggressive driving scenario also involves longer periods of steady-state driving, a battery may be a better choice to provide sustained power over a longer period of time.

(Q2)

create two vectors, one for energy density and one for cell voltage, with the values for each battery type, and then use the "plot" function to create the plot. Here's an example code to plot the energy density vs. cell voltage:

% Define energy density and cell voltage values for each battery type

energy_density = [40, 50, 60, 160, 15]; % in Wh/kg

cell_voltage = [2, 1.2, 1.2, 3.7, 2.7]; % in V

% Plot the data

figure

plot(energy_density, cell_voltage, 'o')

xlabel('Energy Density (Wh/kg)')

ylabel('Cell Voltage (V)')

title('Battery and Ultra-capacitor Comparison')

legend('Lead Acid', 'NiCd', 'NiMH', 'Li-ion', 'Ultra-capacitor')

This will create a plot with energy density on the X axis and cell voltage on the Y axis, with markers representing each battery type.

Based on the plot, we can see that the Lithium-ion battery has the highest cell voltage and energy density, followed by the Nickel Metal hydride battery, Nickel cadmium battery, and Lead acid battery. The Ultra Capacitor has a lower energy density than any of the batteries, but has the highest cell voltage.

To create a plot with power density on the X axis and cell voltage on the Y axis, you can define a vector of power density values for each battery type and use the same "plot" function as before. Here's an example code:

(Q3)

% Define power density values for each battery type

power_density = [0.1, 1, 0.5, 3, 10]; % in kW/kg

% Plot the data

figure

plot(power_density, cell_voltage, 'o')

xlabel('Power Density (kW/kg)')

ylabel('Cell Voltage (V)')

title('Battery and Ultra-capacitor Comparison')

legend('Lead Acid', 'NiCd', 'NiMH', 'Li-ion', 'Ultra-capacitor')

This will create a plot with power density on the X axis and cell voltage on the Y axis, with markers representing each battery type. From this plot, we can see that the Ultra Capacitor has the highest power density, followed by the Lithium-ion battery, Nickel cadmium battery, Nickel Metal hydride battery, and Lead acid battery.

(Q4)

False.

The picture provided is not sufficient to determine the polarity of the electrodes in the battery. The electrode marked as (1) could be either the positive or negative electrode depending on the specific design of the battery.