modeling & simulating
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MODELING & SIMULATINGYOUR SYSTEM ON ALL ITS LIFECYCLE
M&S THERMAL SYSTEM
SYSTEM ENGINEERING DESIGN
Sherpa – Thermal System Design2
Multi-Physic modeling using PhiSim
HVAC Simulation Platform
PhiSim Simulation Platforms
Sherpa – Thermal System Design3
HVAC Simulation platform – obtained by coupling of
▪ Control algorithms, including HMI logics
▪ Plant modelso Refrigerant loop model
o HVAC unit model
o Cabin Thermal and Air Quality models
PhiSim Simulation Platforms
HVAC System Simulation Platform Air Conditioning Plant
RefrigerantLoop
HVAC unit Cabin T°
& Air Quality
Sherpa – Thermal System Design4
Applications – AC components design
▪ Air conditioning components design or evaluation
o Components sizing and requirement building
Settings : compressor cylindra, volumetric efficiency, isentropic efficiency
Refrigerant Loop
Settings : Heat Exchange Area (m2), Power (W)
-> link with geometrical characteristics of the evaporator (length/width/thickness, number of fins), and its power
Direct link with the thermal comfort
Sherpa – Thermal System Design5
Possibility to link with experiment data :
PhiSim Simulation Platforms
HVAC System Simulation Platform Air Conditioning Plant
RefrigerantLoop
HVAC unit Cabin T°
& Air Quality
Globally : vehicle speed, ambient T°, Hr, engine speed, EE states…
Locally : refrigerant flow, air flow, compressor speed, Pressures, T°…
Control SW analysis : bypass of commands algorithms, compare various calibration settings…
Sherpa – Thermal System Design6
▪ Hierarchical control design in closed loop simulation platform
o Inputs signals treatment
- Filters, Range control, Failure modes
- HMI modes (Auto, manual…)
o Comfort Supervisor (Targets)
- Cabin T°, Air blown T°, Air Quality
- Stop&Start/Hybrid interaction
o Local loop control
- AC loop ctrl : Evaporator Temperature control, High Pressure control, Icing detection, Anti-mold strategy, Humidity control
- HVAC ctrl : Blower, Mixing, Distrib. mode, Recycling, Prevent/Postvent strategies
HVAC System Simulation Platform
Advantages :Control design in Closed Loop !Calibration in simulation, running a big range of conditionsAutocoding compliance of control algorithmsRapid Prototyping compliance (MIL, SIL, PIL)
PhiSim Simulation Platforms
Sherpa – Thermal System Design7
▪ Adaptable synoptics to facilize real time analysis
PhiSim Simulation Platforms
Sherpa – Thermal System Design8
▪ References
o Our simulation platforms are used by automotive OEMs
o The platforms have been customized for specific needs
▪ OEM’s component database,
▪ Plant adaptations (IHX, chiller, Heat Pump, HVACs, …)
▪ Specific OEM’s control design
o Examples of applications :
▪ Components requirements building (Refrigerant loop and HVAC)
▪ Control design and calibration / HMI software development
▪ Experiment preparation / experiment data analysis / rapid prototyping (bench tests, road test and missions)
▪ Durability studies (mission profile computation)
▪ Specific occurrence studies
- Front end blower optimization (2 speeds vs linear ; NVH / COP compromises)
- Stop&Start availability, under various climates
HVAC System Simulation Platform
PhiSim Simulation Platforms
Sherpa – Thermal System Design9
Sherpa’s offers
▪ Standard offer
− Simulation Platform
− Basic training to use the simulator
▪ Applicative adaptations with coaching
− Simulation Platform
− Adaptation of the simulator architecture to the customer’s own needs
• Option 1 : Training/Coaching to help the customer to adapt the standard simulator
• Option 2 : Turn-key adaptations of the standard simulator, with training
− Parametrization studies, based on customer’s data experiments
− Control strategies studies, hierarchical, in closed loop with the simulator
• Energy supervision/optimization of the E-Vehicle
• Thermal management, in all customer’s use cases
• Local control of sub-systems and components
▪ Know-How transfer (trainings) : make the customer able to
− use basic tools (Matlab/Simulink) and PhiSim technological Libraries
− use standard simulator
− become autonomous in modifying the simulator
MODELING & SIMULATINGYOUR SYSTEM ON ALL ITS LIFECYCLE
Sherpa – Thermal System Design11
ANNEX
Sherpa – Thermal System Design12
Examples : Design of Control Strategies
▪ HVAC Control Strategies▪ Air Quality Pre-conditioning study
− VOCs cleaning is more efficient in Fresh Air mode− But particles cleaning needs to be in Recycling mode (with HE Filter …)− MBD permits to test various pre-ventilation strategies and sequences to clean the
cabin− Additional functionalities of the Cabin Pollution Simulator:
• Ionization cleaning of the filter, after Recycling phase• End pre-ventilation phase with Fragrance diffusion!
Sherpa – Thermal System Design13
▪ HVAC Control Strategies
Coupling AC loop model based on thermo-fluid libraries, and thermal comfort control model, to design Clean Air Control SW
o Example 1 : Dry evaporator control preventing bad smell
− Control the cooling level to avoid exceeding the dew point
of air and prevent water condensation on the evaporator
HVAC System Simulation Platform
… to keep a dry evaporator…
Anti-mold strategy
… and prevent from mold and
bad smell
Air Conditioning Plant
Control of the AC loop…
Examples : Design of Control Strategies
Sherpa – Thermal System Design14
▪ HVAC Control Strategies
Coupling AC loop model based on thermo-fluid libraries, and thermal comfort control model, to design Clean Air Control SW
o Example 2 : Recycling strategies
− Protections strategies from outside pollutants
− Clean cabin strategies to filter the inside particles
Control of the AC loop…
… to dry the air blown in the cabin…
Need a fogging control by drying the air blown
in the cabin
… and prevent windshield
fogging
Air Quality Recycling strategies Fogging
control
HVAC System Simulation Platform Air Conditioning Plant
Examples : Design of Control Strategies
Sherpa – Thermal System Design15
Example of HVAC Filter Design
▪ Components design
▪ Example : Filter Efficiency sizing and aging study
Reverse use of the simulator, to calculate the efficiency of a Filter that will
fit OEM’s vehicle Requirements
HVAC System Simulation Platform
Air Quality Recycling strategies
Air Conditioning Plant
Dynamic Cleaning Efficiency Simulations
Filter exposition calculationsEfficiency RequirementsAging RequirementsPrediction of Maintenance Ionization cleaning strategies
Sherpa – Thermal System Design16
Applications – Comfort Evaluation
▪ The platform can be linked to Comfort Evaluation Tools
Fanger’s PMV/PPD method (accessible in 0D model) :
- Controlled parameters : Air T°, Air Hr, MRT, Air Speed
- Additional inputs : Metabolic rate, Clothing
Global comfort indicesLocal comfort indices
Need for cabin and mannequin meshing
To calculate local comfort indices
CAD tools
HVAC System Simulation Platform Air Conditioning Plant
RefrigerantLoop
HVAC unit
Cabin T°
& Air Quality
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