LMS Imagine.Lab Passenger Comfort

LMS Imagine.Lab Passenger Comfort helps study thermal interactions between the air conditioning system, the cooling system and the vehicle interior. Engineers can control the cabin cooling or heating processes and study the integration of additional heaters for passenger comfort. Users can examine the behavior of the entire system according to heating strategies and driving cycles.

Vehicle Thermal Management_Passenger comfort_1_Low.jpg

LMS Imagine.Lab Passenger Comfort helps to study thermal interactions between the air conditioning (AC) system, the cooling system and the cabin or vehicle interior. Engineers can evaluate and control the cabin cool down or heating processes (air temperature and humidity), as well as study the integration of additional heaters and their influence on passenger comfort, especially when using high efficiency engines with low thermal losses.

Engineers can study the impact of exterior conditions and technological choices on the air temperatures and humidity within the cabin.

The different analysis capabilities of the platform help the user thoroughly study the behavior of the entire system according to heating strategies and drive cycles under specific operating conditions. With LMS Imagine.Lab Passenger Comfort, it is possible to accurately size components (heater core, evaporators, ducts, fans/blowers), test control strategies (AC compressor displacement, recycling modes, automatic AC control, control of blowers and fan rotary speeds) and analyze innovative air-conditioning architecture.

Features

Transient and steady-state analysis
Prediction of air temperatures and humidity in the cabin (cool down or heating) through ducts, heat exchangers and fans
Prediction of pressure and heat losses from outside to the cabin air extraction
Additional heating strategies
Drive cycle analysis

Benefits

Size components (heater core, evaporators, ducts, fans/blowers)
Test control strategies (AC compressor displacement, recycling modes, automatic AC control, control of blowers and fans rotary speeds)
Test innovative AC solutions to optimize passenger comfort under specific operating conditions

Covering a range of industries, LMS application cases let you discover how LMS solutions help our customers solve their real-life engineering challenges.

diesel engines modeling design software 3.gif Delphi cuts next-generation diesel engines ECU development time with LMS Imagine.Lab AMESim

Working together with LMS Imagine.Lab engineering services, Delphi engineers use LMS Imagine.Lab AMESim multi-domain system modeling software to efficiently develop advanced HiL simulators to design and test electronic control units for tomorrow’s fuel-efficient, clean-running diesel engines.

Messier-Bugatti optimized the A380 nosewheel steering and braking system with LMS Imagine.Lab AMESim

To save weight on the A380 superjumbo aircraft, Messier-Bugatti used LMS Imagine.Lab AMESim and the Ground Loads solution to design an innovative decentralized hydraulic generation system with lightweight micro-pumps delivering power locally to emergency braking and landing gear steering systems.

Renault applies AMESim to streamline its cooling and air-conditioning systems development process

To comply with the multiple constraints relative to vehicle designs that affect the thermal management of underhood systems, and to ensure high-quality passenger comfort, Renault decided to rely more on simulation to engineer the underhood thermal environment. The French car maker deployed the AMESim solution as a collaborative system simulation platform.

More cases:

Brochures

Download the LMS Imagine.Lab Overview Brochure

Download the LMS Imagine.Lab AMESim Vehicle Thermal Management Brochure


	The refrigerant loop can be connected to a cabin model to develop a temperature control strategy to achieve the desired passenger comfort.		The cabin model computes the internal temperature and the relative humidity, taking into account the passenger influence.		With LMS Imagine.Lab Passenger Comfort additional heating strategies can be rapidly tested.

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