Pure Power Control S.r.l. is an Italian company founded in 2008 that specializes in developing environmentally-friendly solutions for propulsion systems. The company was founded by Andrea Balluchi and Emanuele Mazzi, who have extensive engineering experience in fields like automotive powertrains and vehicle dynamics control. Pure Power Control provides services in areas like modeling, control system design, and electronic control system development, with a focus on efficient and low-emissions propulsion for vehicles and marine applications.

1. Pure Power Control S.r.l.
environmentally‐friendly solutions
Polo Tecnologico di Navacchio ‐ Via Giuntini 63, 56023 Navacchio (PI) ‐ Italy
email: info@purepowercontrol.com, web: www.purepowercontrol.com

2. Outline
• Founders’ curriculum
• Company establishment
• Missions
• Profile
• Competences
• Partners
• Contacts
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3. Andrea Balluchi
• Education
– Feb 1993 ‐ Degree in Electronic Engineering (Automation curriculum) with summa cum
laude at University of Pisa (stage at University of Sheffield)
– Nov 1995 Visitor at the Laboratoire d’Analyse et d’Architecture des Systèmes, CNRS,
Toulouse
– Jun‐Nov 1996 Visiting Scholar at the Department of Electrical Engineering and Computer
Science, University of California at Berkeley
– Dec 1996 ‐ PhD in Automatic and Industrial Robotic at Department of Electrical Systems
and Automation, University of Pisa
• Awards
– 16° IFAC World Congress 2005 (Prague) ‐ Best application paper: “Actual engaged gear
identification: a hybrid observer approach” IFAC: International Federation of Automatic
Control
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4. Andrea Balluchi
• Professional experiences
• 2007 –Oct 2008: Systems and Control Senior Engineer in Dana (Arco, I)
– Design of industrial powertrains and control systems
• 1997 – 2006: Research scientist in PARADES (Roma, I)
PARADES – Platform‐based design methodology
– Modeling and hybrid control in automotive applications
– Collaborations with Magneti Marelli, Ferrari GeS, United Technology
• 2001 – 2002: Consultant for Magneti Marelli (Bologna, I)
– Development of cruise control algorithms and engine charge estimators
• 2003 – present: Adjoined Prof. of Vehicle Control at University of Pisa
– Automotive engine and powertrain control, hybrid powertrains, vehicle dyn.s
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5. Emanuele Mazzi
• Education
– Oct 2002 ‐ Degree in Computer Science Engineering with summa cum laude at the
University of Pisa
– May 2005 ‐ Master Degree in Automation Engineering with summa cum laude,
Automotive curriculum at the University of Pisa,
– Oct 2007 ‐ Jul 2008 Visiting Scholar at the Department of Electrical Engineering and
Computer Science, University of California at Berkeley
– Dec 2008 ‐ PhD. in Automatic, Robotics and Bioengineering at the Department of
Electrical Systems and Automation at the University of Pisa
• International Curriculum Option of Doctoral Studies in Hybrid Control for Complex,
Distributed and Heterogeneous Embedded Systems
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6. Emanuele Mazzi
• Professional experiences
• 2005: Consultant at Magneti Marelli Powertrain, (Bologna, I)
– Development of common rail fuel injection system control
• 2006 ‐ 2008: Consultant at PARADES (Roma, I)
PARADES
– Collaboration with Ferrari GeS (Maranello, I)
– Collaboration with United Technologies (Hartford, USA)
– Collaboration with Magneti Marelli Powertrain (Bologna, I)
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7. Founders’ selected projects
• Engine control
– Internal combustion engine modeling
– Fuel cut‐off control
PARADES
– Modeling and control of common‐rail fuel injection system
– Modeling and control of EGR/VGT system
– Idle‐speed control
• Powertrain control
– Modeling of mechanical and fluid power components
– Actual engaged gear identification
– Human factors in robotized gearbox design
• Vehicle dynamics control
– Cruise control
– Modeling and control of antilock braking system
– Steering control for bounded–curvature vehicles
– Longitudinal dynamics control of F1 car
• Methodologies and design tools
– Development flow for co‐design of electrical/mechanical control systems
– Hybrid (discrete/continuous behaviours) system formalisms, analysis and design techniques
– Composition, abstraction, reduction, simulation and validation of hybrid models
– Tools for formal verification of performance requirements for controlled hybrid systems
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8. Company establishment
• 13 Oct 2008: Constitution
– Registered office opened in Viareggio
• 21 Jan 2009: Start of business
– Main office set up at Polo Tecnologico (Navacchio, Pisa, I)
• 65 SMEs, 550 employers
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9. Missions
• Propulsion systems
– Environmentally‐friendly solutions
– Energetic optimization of vehicles
• Systems and control
– Advanced methodologies in system design
– Design and production of electronic control systems
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10. Mission: propulsion systems
optimal engine management downsizing
• To develop advanced environmentally‐friendly high
efficiency
propulsion systems for land vehicles and marine 50kW
applications
– Fuel efficient, low CO2 emissions 37kW
– Low/zero air pollutant emissions regenerative braking
– Extended functionalities and performances
– Enhanced safety, reliability and availability
• To conceive solutions for energetic optimization of renewable energy integration
vehicles
– Optimal energy management strategies
– Combustion engine downsizing
– Regenerative braking no‐fuel idling power sys. integration
– Renewable energy integration
– Propulsion system and in‐vehicle power system
integration
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11. Mission: systems and control
• To apply advanced methodologies and tools in
system design
– System concept elaboration
– Architecture exploration and design choices
evaluation
– System optimization
– Fast prototyping and demonstration
• To design and produce electronic control systems
– Requirement formalization and system
specifications
– Development of control, diagnosis and
communication functionalities
– Development of HW/SW implementation
– System validation and testing: MIL, SIL, HIL, fast‐
prototyping, field testing
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12. Profile
• Pure Power Control is
– an E/E partner of OEMs and conventional powertrain suppliers for the
development of hybrid electric propulsion systems
• system‐level design of hybrid electric powertrains
• development and production of powertrain control systems
• integration of electric propulsion components
– a provider of engineering services
• concept evaluation and development
• architectural exploration and system optimization
• modeling and simulation, control system design and implementation
– a supplier of electronic control systems
• open to co‐design with OEM for best integration and optimization of control
functionalities
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13. Competences
• Automotive and vehicle propulsion systems
• Yacht and marine propulsion systems
• Model‐based design
• Control design
• Validation and testing
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14. Competences: automotive and
vehicle propulsion systems
• Internal combustion engines
– Zero‐dimensional and quasi‐dimensional engine modeling
– Modeling of engine subsystems (fuel injection systems, turbo‐charging
systems, exhaust‐gas treatment systems, etc.)
– Engine control (MPI, DI, VGT, EGR, ET, VVT, etc.)
• Powertrain systems
– Modeling of shaft torsional vibration, gear‐sets, dry and wet clutches,
torque converters, synchronizers, hydrostatic machines
– Manual transmission, AMT, CVT, power‐split/power‐shuttle/power‐shift
– Hybrid powertrains, zero‐emission propulsion systems
• Vehicle dynamics
– Modeling of tires, chassis , suspensions, steering and braking systems
– Driver modeling
– Vehicle dynamics control (lateral, longitudinal and vertical)
• Electric propulsion
– Modeling and control of electric machines, electrochemical batteries
and supercapacitors, vehicle management system, BMS
• Development and production testbench design
– Testbench specification, architectural and functional design
– Control system and HMI development
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15. Competences:
yacht and marine propulsion systems
• Yacht modeling
– Hull hydrostatics and stability
• geometry, wetted surface, displacement, center of buoyancy,
water plane area, curve of static stability, rolling, influence of
waves on the righting moment, stability statistics
– Hull hydrodynamics
• forces and moments on sailing yacht
• resistance components: viscous, frictional, viscous pressure,
roughness, wave, heel, influence of hull shape on wave resistance
– Propeller steady‐state and dynamic modeling
• Propulsion system
– Hybrid‐electric powertrain
• propeller requirements 3500
Efficiency [ ]
4
0.
• hybrid‐electric powertrain system architecture 3000
1
0.4
0.42
0. 39
0.3
0.4
9
0.42
2500 0.41
• energy management system, battery management system and 0.38
engine torque [Nm]
0.43
0.4
2000
0.4
human machine interface
0.4
0.4
41
1
0.39
0.39
0.
0.38
0.
42
1500 0.36
0.38
0.3 0.39
6
4 0.38
0.
– On board hybrid power generation 1000
0.38
9
0.3.38
0
0.34
0.3
6
0.3
4
0.36
500 0.36 0.32
0.34 0.32
0
600 800 1000 1200 1400 1600 1800 2000 2200
engine speed [rpm]
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16. Competences:
model‐based design
• Development of electronic control systems
– V‐model methodology: design and integration/testing flow
– Requirement management and traceability
– Derivative design
– Integration of multi‐domain component implementations
• Model‐based design
– Controllers
• Algorithms designed using block diagram based modeling tools
• Correctness of the algorithms validated against plant models
• HW/SW implementation based on the validated models
– Systems
• System concepts analyzed using block diagram based modeling tools
• Most promising solutions identified on the basis of analytical results
ALG 1
• Advantages ALG 2
• Time‐saving and cost‐effective
– Short development time of system, algorithms and implementation
– Models can be easily reused and shared reducing risk of mistakes
• Design choices explored and evaluated quickly and reliably
– Analysis, simulation and verification
• Optimized and fully tested system
– System architectures and control algorithms validated in simulation
– Automatic generation of test signals for product validation
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17. Competences: control design
• Modeling
– Model development, analysis and simulation
• Field experimentation
– Test design and execution, experimental data processing and analysis
• Control system design
– Design of the overall control system architecture and functional
requirement specification
• Supervisors, nested loop control, multi‐rate control, estimators, diagnosis and
recovery, etc.
• Advanced control algorithm design
– Hybrid system formalism for modeling and control
• Representation of interacting continuous and discrete behaviors in system
modeling and control algorithms (e.g. discrete‐time, event‐based/continuous
time actions, logics and continuous control)
– Optimal control
– Robust control
– Nonlinear control
– Model‐based diagnosis and recovery algorithms
– Optimal vibration damping control
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18. Competences:
validation and testing
• Control algorithm and software validation and testing
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19. Partners
Off-highway Products Group
Interdepartmental Research Center “E. Piaggio”
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20. Contacts
Pure Power Control S.r.l.
Polo Tecnologico di Navacchio ‐ Via Giuntini 63, 56023 Navacchio (PI) – Italy
phone: +39 050 7519860, fax: +39 050 754707
web: www.purepowercontrol.com
Andrea Balluchi, Ph.D.
President
email: andrea@purepowercontrol.com
mobile: +39 327 5691133
Emanuele Mazzi, Ph.D.
Vice President
email: emanuele@purepowercontrol.com
mobile: +39 327 5691007
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