Pontara, Davide
  
(2017)
Multi-Drive Powertrain Configurations for Electric and Hybrid Vehicles, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. 
 Dottorato di ricerca in 
Ingegneria elettrotecnica, 29 Ciclo. DOI 10.6092/unibo/amsdottorato/7824.
  
 
  
  
        
        
        
  
  
  
  
  
  
  
    
  
    
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      Abstract
      Over the last fifteen years, the automotive market experienced a renewed interest towards electric and hybrid cars which, in turn, pushed the mayor manufacturers to increase investments in this sector, while also allowing new players to enter the market with innovative solutions.
This gave rise to traction systems significantly different from the traditional ones, also from the conceptual point of view. An example is the powertrain “splitting”, namely the subdivision of the propulsive power between several subsystems more or less independent from each other.
Literature shows that this solution can bring significant benefits, both under the powertrain point of view and the vehicle as a whole.
Since the tractive effort is divided among several sub-components, these can be sized to a lower rated power, be more compact and easier to accommodate in the vehicle.
Furthermore, the power splitting brings to higher reliability and enhanced vehicle dynamic performance.
Eventually, for selected power ranges, it has been found possible to supply the traction drives at ultra-low voltage, i.e. 48 V, still achieving interesting performances, with clear benefits in terms of safety and simplicity.
The research activity found practical application in the “AMBER-ULV” FP7 European project, for which a two-motor, two-axle, two-batteries traction system with a centralized control unit was developed.
A model of the high-level control algorithm was conceived and run on the ECU thanks to model-based automatic code generation with integration of a stability control algorithm externally provided.
The research activity also included the design of the traction drives, the low-level software and their integration on the vehicle.
The prototype was also widely tested in several conditions in order to demonstrate the validity of the design process and choices.
     
    
      Abstract
      Over the last fifteen years, the automotive market experienced a renewed interest towards electric and hybrid cars which, in turn, pushed the mayor manufacturers to increase investments in this sector, while also allowing new players to enter the market with innovative solutions.
This gave rise to traction systems significantly different from the traditional ones, also from the conceptual point of view. An example is the powertrain “splitting”, namely the subdivision of the propulsive power between several subsystems more or less independent from each other.
Literature shows that this solution can bring significant benefits, both under the powertrain point of view and the vehicle as a whole.
Since the tractive effort is divided among several sub-components, these can be sized to a lower rated power, be more compact and easier to accommodate in the vehicle.
Furthermore, the power splitting brings to higher reliability and enhanced vehicle dynamic performance.
Eventually, for selected power ranges, it has been found possible to supply the traction drives at ultra-low voltage, i.e. 48 V, still achieving interesting performances, with clear benefits in terms of safety and simplicity.
The research activity found practical application in the “AMBER-ULV” FP7 European project, for which a two-motor, two-axle, two-batteries traction system with a centralized control unit was developed.
A model of the high-level control algorithm was conceived and run on the ECU thanks to model-based automatic code generation with integration of a stability control algorithm externally provided.
The research activity also included the design of the traction drives, the low-level software and their integration on the vehicle.
The prototype was also widely tested in several conditions in order to demonstrate the validity of the design process and choices.
     
  
  
    
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Pontara, Davide
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          29
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Multi-drive
Vehicle
Car
Electric
Hybrid
Power
Split
Battery
Model-based
Design
CAN
Traction
Control
Stability
Yaw-rate
Embedded
Automatic
Code
Controller
ECU
4WD
AWD
FPGA
CompactRIO
LabVIEW
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/7824
          
        
      
        
          Data di discussione
          5 Aprile 2017
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Pontara, Davide
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          29
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Multi-drive
Vehicle
Car
Electric
Hybrid
Power
Split
Battery
Model-based
Design
CAN
Traction
Control
Stability
Yaw-rate
Embedded
Automatic
Code
Controller
ECU
4WD
AWD
FPGA
CompactRIO
LabVIEW
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/7824
          
        
      
        
          Data di discussione
          5 Aprile 2017
          
        
      
      URI
      
      
     
   
  
  
  
  
  
    
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