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Grant: Discovery Grants Program - Individual

Lakehead University

$46,000.00

Intelligent Diagnostics and Prognostics of Electric Vehicle Powertrains

FY 2021-22

Summary
Electric vehicle (EV) technology will soon revolutionize the transportation industry. EV performance depends mainly on the functionality of its powertrain, especially the battery pack and the drive induction motor (IM). The imperfections in the motor will generate EV malfunction, and degrade its power efficiency and drive safety. On the other hand, Lithium ion technology is still in its early stages. No matter how good a battery is, it will degrade over time with every charge/discharge cycle. Due to volatility, flammability and entropy changes, a battery could ignite by overheating. Battery failure will not only result in inconvenience and repair costs, but also risk catastrophic consequences especially in passenger vehicles. Accordingly, the long term objective of this research program is to develop new technology and tools to improve the reliability of intelligent diagnosis and prognosis (IDP) in EV powertrains. The IDP system can be used to monitor the health condition of the drive motors in real-time. It can also effectively estimate battery state of life, improve battery performance, efficiency and lifespan, and optimize vehicle operation. Over the next five years, the specific research themes include: (1) new hybrid techniques will be developed to improve the reliability of bearing fault detection in IMs; (2) An intelligent classifier will be developed for real-time health condition monitoring of drive motors in EVs; (3) A new diagnostic system will be proposed to examine battery state of health; and (4) a hybrid intelligent predictor will be developed to predict the remaining useful life of batteries. Appropriate machine learning algorithms will be proposed to improve the decision-making convergence and robustness of the related intelligent systems. This multidisciplinary research program will provide unique and leading-edge opportunities to train HQP in the related academic fields. Since IMs and batteries are also commonly used in other industrial and domestic applications, the developed IDP technology and tools can not only significantly benefit the EV and hybrid EV industrial sectors in Canada, but can also help with a wide range of industrial and domestic applications using IMs and batteries, boosting the economy, protecting the environment, and enhancing the competitiveness of Canadian companies in the global market.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2021-04272
Name nom
Wang, Wilson
Department département
Mechanical Engineering
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2021
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
516
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Mechanical machinery, heavy equipment (including farm, forestry, and construction equipment)
Area of application fr
Machinerie mécanique, machinerie lourde (y compris machinerie agricole, forestière, de construction)
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Installment
inst:1
Partie
1
Nb partie
5
Application title
Intelligent Diagnostics and Prognostics of Electric Vehicle Powertrains
Keyword
NSERC
Application summary
Electric vehicle (EV) technology will soon revolutionize the transportation industry. EV performance depends mainly on the functionality of its powertrain, especially the battery pack and the drive induction motor (IM). The imperfections in the motor will generate EV malfunction, and degrade its power efficiency and drive safety. On the other hand, Lithium ion technology is still in its early stages. No matter how good a battery is, it will degrade over time with every charge/discharge cycle. Due to volatility, flammability and entropy changes, a battery could ignite by overheating. Battery failure will not only result in inconvenience and repair costs, but also risk catastrophic consequences especially in passenger vehicles. Accordingly, the long term objective of this research program is to develop new technology and tools to improve the reliability of intelligent diagnosis and prognosis (IDP) in EV powertrains. The IDP system can be used to monitor the health condition of the drive motors in real-time. It can also effectively estimate battery state of life, improve battery performance, efficiency and lifespan, and optimize vehicle operation. Over the next five years, the specific research themes include: (1) new hybrid techniques will be developed to improve the reliability of bearing fault detection in IMs; (2) An intelligent classifier will be developed for real-time health condition monitoring of drive motors in EVs; (3) A new diagnostic system will be proposed to examine battery state of health; and (4) a hybrid intelligent predictor will be developed to predict the remaining useful life of batteries. Appropriate machine learning algorithms will be proposed to improve the decision-making convergence and robustness of the related intelligent systems. This multidisciplinary research program will provide unique and leading-edge opportunities to train HQP in the related academic fields. Since IMs and batteries are also commonly used in other industrial and domestic applications, the developed IDP technology and tools can not only significantly benefit the EV and hybrid EV industrial sectors in Canada, but can also help with a wide range of industrial and domestic applications using IMs and batteries, boosting the economy, protecting the environment, and enhancing the competitiveness of Canadian companies in the global market.
Lakehead University - $46,000 Grant (2021-22) | Canada Spends