All-Electric Ships (AESs) are considered as an effective solution for reducing greenhouse gas emissions as they provide a better platform to use alternative clean energy sources such as Fuel Cells (FC) in place of fossil fuel. Even though... more
All-Electric Ships (AESs) are considered as an effective solution for reducing greenhouse gas emissions as they provide a better platform to use alternative clean energy sources such as Fuel Cells (FC) in place of fossil fuel. Even though FCs are promising alternative, their response is not fast enough to meet load transients that can occur in ships at sea. Therefore, high-density rechargeable battery storage systems are required to achieve stable operation under such transients. Generally, in such hybrid systems, DC/DC converters are used to interface the FC and battery into the DC-link. This paper presents an intelligent FC power management strategy to improve FC performance at various operating points without employing DC/DC interfacing converters. A hybrid AES driveline model using Genetic Programming (GP) is utilized using Simulink and GeneXProTools4 to formulate operating FC voltage based on the load current, FC air and fuel flow rates. Genetic Algorithm (GA) is used to adjust air and fuel flow rates to keep the FC voltage within the safe operating range at different power demands. The proposed method maintains FC performance as well as reduces fuel consumption; and thereby ensures the optimal power sharing between the FC and the lithium-ion battery in AES application.
Research Interests:
Electric Vehicles (EVs) are an effective solution for reducing greenhouse gas emissions to the atmosphere. Safety is the most crucial issue in the automotive industry and any fault in the EV drivetrain may results in a fatal accident.... more
Electric Vehicles (EVs) are an effective solution for reducing greenhouse gas emissions to the atmosphere. Safety is the most crucial issue in the automotive industry and any fault in the EV drivetrain may results in a fatal accident. This paper discusses the dynamic performance of EVs under drivetrain Voltage Source Inverter (VSI) switch faults and presents the suitable Fault Diagnosis Algorithm (FDA) and remedial strategy for EV applications. Physical testing of drivetrain faults in EVs is both expensive and extremely difficult; therefore the Nissan Leaf and the Lightning GT EVs are simulated using a validated model of the Permanent-Magnet Synchronous Motor (PMSM) and their performances investigated under faulty drivetrain conditions. Simulation results show the necessity of implementing Fault Tolerant Control Systems (FTCSs) in EV drivetrain electric motor drives. Various fault diagnosis algorithms of the VSI switch faults in PMSM drives are reviewed and their merits and demerits are discussed. Existing fault tolerant control inverter topologies are also reviewed and compared based on EV application requirements. Finally, suitable FDA and fault tolerant control inverter topology for EV drivetrain application are recommended to maintain safe and optimal vehicle performance in the post-fault condition.
Research Interests:
Safe operation of electric motor drives is of prime research interest in various industrial applications. This paper presents a new fault diagnosis system for open circuit switch faults in three phases Voltage Source Inverter (VSI)... more
Safe operation of electric motor drives is of prime
research interest in various industrial applications. This paper
presents a new fault diagnosis system for open circuit switch
faults in three phases Voltage Source Inverter (VSI) drive of the
permanent magnet Brushless DC (BLDC) motors. The proposed
fault diagnosis system is capable of detecting as well as identifying
the faulty switch in the voltage source inverters. Faults diagnosis
is based on Discrete Fourier Transform (DFT) analysis of the
BLDC motor line voltages. Behaviour of the BLDC motor is
analysed under open circuit faults of inverter switches through a
validated simulation model. A knowledge based table is developed
to identify the faulty switch by analysing the simulation results
under various fault conditions. Performance of the BLDC motor
is also investigated under open circuit faults of VSI switches
through the experimental test rig. Experiment results validate
the proposed inverter switch fault diagnosis algorithm for the
BLDC motor drives.
research interest in various industrial applications. This paper
presents a new fault diagnosis system for open circuit switch
faults in three phases Voltage Source Inverter (VSI) drive of the
permanent magnet Brushless DC (BLDC) motors. The proposed
fault diagnosis system is capable of detecting as well as identifying
the faulty switch in the voltage source inverters. Faults diagnosis
is based on Discrete Fourier Transform (DFT) analysis of the
BLDC motor line voltages. Behaviour of the BLDC motor is
analysed under open circuit faults of inverter switches through a
validated simulation model. A knowledge based table is developed
to identify the faulty switch by analysing the simulation results
under various fault conditions. Performance of the BLDC motor
is also investigated under open circuit faults of VSI switches
through the experimental test rig. Experiment results validate
the proposed inverter switch fault diagnosis algorithm for the
BLDC motor drives.
Research Interests:
Developing of fault tolerant control systems (FTCS’s) for permanent magnet Brushless DC (BLDC) motor drives to diagnose and handle various faults have been of the research concentrations in the last decade. In this paper a novel fault... more
Developing of fault tolerant control systems
(FTCS’s) for permanent magnet Brushless DC (BLDC) motor
drives to diagnose and handle various faults have been of the
research concentrations in the last decade. In this paper a novel
fault diagnosis algorithm for position sensors (Hall Effect sensors)
failure of the BLDC motor is presented. Fault detection and
identification of Hall Effect sensors are based on sensors signals
and Discrete Fourier Transform (DFT) analysis of the BLDC
motor line voltages in the proposed fault diagnosis system. BLDC
motor behaviour is analysed under various Hall Effect sensor
faults through a validated simulation model. An expert system
is developed to diagnose Hall Effect sensors faults in the BLDC
motor by analysing the simulation results under different fault
conditions. Correct performance of the proposed fault diagnosis
system is proven through experimental data analysis. A simple
technique is discussed to generate the commutation signal of
the faulty position sensor and maintain operation of the BLDC
motor in post-fault condition. The proposed fault tolerant control
system is simple, does not need excessive computations and can
be executed with the main control program of the BLDC motor
on a single chip micro-controller.
(FTCS’s) for permanent magnet Brushless DC (BLDC) motor
drives to diagnose and handle various faults have been of the
research concentrations in the last decade. In this paper a novel
fault diagnosis algorithm for position sensors (Hall Effect sensors)
failure of the BLDC motor is presented. Fault detection and
identification of Hall Effect sensors are based on sensors signals
and Discrete Fourier Transform (DFT) analysis of the BLDC
motor line voltages in the proposed fault diagnosis system. BLDC
motor behaviour is analysed under various Hall Effect sensor
faults through a validated simulation model. An expert system
is developed to diagnose Hall Effect sensors faults in the BLDC
motor by analysing the simulation results under different fault
conditions. Correct performance of the proposed fault diagnosis
system is proven through experimental data analysis. A simple
technique is discussed to generate the commutation signal of
the faulty position sensor and maintain operation of the BLDC
motor in post-fault condition. The proposed fault tolerant control
system is simple, does not need excessive computations and can
be executed with the main control program of the BLDC motor
on a single chip micro-controller.
Research Interests:
Electric vehicle (EV) is one of the effective solutions to control emission of greenhouses gases in the world. It is of interest for future transportation due to its sustainability and efficiency by automotive manufacturers. Various... more
Electric vehicle (EV) is one of the effective solutions to
control emission of greenhouses gases in the world. It is of interest
for future transportation due to its sustainability and efficiency by
automotive manufacturers. Various electrical motors have been used
for propulsion system of electric vehicles in last decades. In this
paper brushed DC motor, Induction motor (IM), switched reluctance
motor (SRM) and brushless DC motor (BLDC) are simulated and
compared. BLDC motor is recommended for high performance
electric vehicles. PWM switching technique is implemented for speed
control of BLDC motor. Behavior of different modes of PWM speed
controller of BLDC motor are simulated in MATLAB/SIMULINK.
BLDC motor characteristics are compared and discussed for various
PWM switching modes under normal and inverter fault conditions.
Comparisons and discussions are verified through simulation results.
control emission of greenhouses gases in the world. It is of interest
for future transportation due to its sustainability and efficiency by
automotive manufacturers. Various electrical motors have been used
for propulsion system of electric vehicles in last decades. In this
paper brushed DC motor, Induction motor (IM), switched reluctance
motor (SRM) and brushless DC motor (BLDC) are simulated and
compared. BLDC motor is recommended for high performance
electric vehicles. PWM switching technique is implemented for speed
control of BLDC motor. Behavior of different modes of PWM speed
controller of BLDC motor are simulated in MATLAB/SIMULINK.
BLDC motor characteristics are compared and discussed for various
PWM switching modes under normal and inverter fault conditions.
Comparisons and discussions are verified through simulation results.
Research Interests:
Electric vehicle (EV) due to its running zero emission, sustainability and efficiency is of interest for future transportation. In-wheel technology has been one of the main research concentration points in last decade. BLDC motor is on... more
Electric vehicle (EV) due to its running zero
emission, sustainability and efficiency is of interest for future
transportation. In-wheel technology has been one of the main
research concentration points in last decade. BLDC motor is on
demand for in-wheel application because of its high efficiency,
torque/speed characteristics, high power to size ratio, high
operating life and noiseless operation. In this paper direct
torque control (DTC) switching technique of BLDC motor for
EV propulsion system is proposed and simulated in MATLAB/
SIMULINK. The Simulation results show effective control of
torque and remarkable reduction of torque ripple amplitude as
compared to conventional reported switching techniques.
Improvements of in-wheel motor’s torque controllability result
to have more efficient and safer electric vehicle. The simulation
results of proposed switching system are satisfactory and show
correct performance of system.
emission, sustainability and efficiency is of interest for future
transportation. In-wheel technology has been one of the main
research concentration points in last decade. BLDC motor is on
demand for in-wheel application because of its high efficiency,
torque/speed characteristics, high power to size ratio, high
operating life and noiseless operation. In this paper direct
torque control (DTC) switching technique of BLDC motor for
EV propulsion system is proposed and simulated in MATLAB/
SIMULINK. The Simulation results show effective control of
torque and remarkable reduction of torque ripple amplitude as
compared to conventional reported switching techniques.
Improvements of in-wheel motor’s torque controllability result
to have more efficient and safer electric vehicle. The simulation
results of proposed switching system are satisfactory and show
correct performance of system.
Research Interests:
Automotive Industry is targeting sustainable transportation in near future. Therefore hybrid and electric vehicles are going to be popular due to their sustainability, energy saving and zero emission. Electric motors play significant role... more
Automotive Industry is targeting sustainable
transportation in near future. Therefore hybrid and electric
vehicles are going to be popular due to their sustainability,
energy saving and zero emission. Electric motors play
significant role in EV’s. In-wheel motor technology is being
used in modern electric vehicles to improve efficiency, safety
and controllability of vehicle nowadays. BLDC motor have
been demanding as in-wheel motor in electric vehicles because
of high efficiency, desired torque versus speed characteristics,
high power density and low maintenance cost. In this paper
BLDC motor with ideal back-EMF is modeled and simulated
in MATLAB / SIMULINK. Simulation model of the controller
and BLDC drive are also presented. In order to validate the
model various simulation models are studied. Simulations
results depict from developed model are satisfactory and show
correct performance of model.
transportation in near future. Therefore hybrid and electric
vehicles are going to be popular due to their sustainability,
energy saving and zero emission. Electric motors play
significant role in EV’s. In-wheel motor technology is being
used in modern electric vehicles to improve efficiency, safety
and controllability of vehicle nowadays. BLDC motor have
been demanding as in-wheel motor in electric vehicles because
of high efficiency, desired torque versus speed characteristics,
high power density and low maintenance cost. In this paper
BLDC motor with ideal back-EMF is modeled and simulated
in MATLAB / SIMULINK. Simulation model of the controller
and BLDC drive are also presented. In order to validate the
model various simulation models are studied. Simulations
results depict from developed model are satisfactory and show
correct performance of model.
Research Interests:
Use of Electric Vehicles is increasing due to zero carbon emission,its sustainability and energy saving capability.This paper compares performance,efficiency and reliability of different motors which can be used as drive train of electric... more
Use of Electric Vehicles is increasing due to zero carbon emission,its sustainability and energy saving capability.This paper compares performance,efficiency and reliability of different motors which can be used as drive train of electric vehicles.Performance of Induction Motors,Brushed DC Motors,Permanent Magnet Brushless DC Motors,Switched Reluctance Motors and their respective controller have been simulated.Merits and demerits of each system have been highlighted.Performance of BLDC and switched reluctance motors as in-wheel motors under normal and critical conditions are compared.The paper also covers the additional benefits of integration of BLDC motor-drive systems with inbuilt adaptation of control and self fault diagnosis in-wheel systems.