LMS Imagine.Lab AMESim to support the CO2 challenge
in the Construction and Agricultural Machinery industries
2
1
Focus on Hybridization
Solution Presentation
Industry Challenges
Lionel Brioglia, Product Manager – Fluids and Electromechanical, LMS Simulation Division
[email protected]
Joon Decock, Area Manager Nordic, HQS LMS International
[email protected]
Agenda
3
Today’s Industry Challenges…
Satisfy the increasing demand of high performances, energy
efficiency/fuel economy and driver comfort
Optimizing the energy management
Maintaining brand value, performance, quality & reliability
Growing complexity of control & electronic systems
Reduce the development time and cost
Solve more design and integration problems earlier in the
development cycle
Reduce the number of real prototypes and test bench
More transnational cooperation
Solution Presentation
Manage the innovations related to intelligent systems
Parallel design cycles for physical and control system
Need of a common system mock-up between system and
control teams
3 copy right LMS International - 2012
Agenda
2
What is System Simulation?
Simulation of the complete system
Description of physical phenomena based
on few “macroscopic” parameters
Multi-domain / Multi-level approach
components
The simulation model is an assembly of
Components are described with analytical
or tabulated models
We are looking for static and dynamic
responses, in time & frequency domains
Component
design &
optimization
Subsystems
interaction &
integration
Subsystem
technology
design
choices
Architecture
choices &
electrification
LMS Imagine.Lab AMESim to support the CO2 challenge
in the Construction and Agricultural Machinery industries
Copy right LMS International - 2011
Komatsu
“With LMS Imagine.Lab AMESim, we reduce prototypes and get a shorter
development time.”
Case New-Holland
“Numerical simulation effectively support Control Software Development introducing
reliable & shareable plant models, automatic tests, quick and easy debugging.”
Liebherr
“We implemented the LMS solutions smoothly in the LH 120 C Litronic development
process without the need for prototypes, saving a serious amount of time and
money.”
A proven Track Record
7 copy right LMS International - 2011
Volvo Construction Equipment balance performance and fuel
consumption with LMS Imagine.Lab AMESim
Challenges
loaders and haulers.
Accurately predict the fuel consumption and operability of
Solution
A computational framework including a reduced number of
consolidated software tools, including LMS Imagine.Lab
AMESim
Benefits
Study of the interaction and behavior of systems
combining mechanical, thermal, hydraulic and
electrical domains.
in early design phases.
Cut in half the overall vehicle virtual prototyping time
“LMS played a key role in the hybridization of the Volvo CE wheel loader and proved
to deliver an effective flexible tool in evaluating the many options and optimizing the
final design.”
Jonas Larsson, Sim ulation coordinator haulers and loaders, Volvo Construction Equipm ent
8 copy right LMS International - 2010
Focus on Hybridization
Volvo CE at LMS UGM
LMS Reference: Volvo Construction Equipment
Volvo CE article in LMS News Magazine
9 copy right LMS International - 2005
Agenda
3
Component
design &
optimIzation
Subsystems
interaction &
integration
Subsystem
technology
design
choices
Architecture
choices &
electrification
Fuel Consumption and
Emission
LMS Imagine.Lab AMESim to support the CO2 challenge
in the Construction and Agricultural Machinery industries
Copy right LMS International - 2011
Architecture choices and electrification
Vehicle and powertrain architecture lay-out, control strategy
choices, with performance and consumption targets
Trend evaluation of fuel economy for targeted driving and
loading cycles considering early design options
electrical motors and battery state of charge
Analysis of power requested from the combustion engine,
Vehicle Power Metrics & Fuel Consumption
hybrid, series-hybrid, parallel-hybrid, function electrification
Compatible with any vehicle architecture: electric or hydraulic
Copy right LMS International - 2011
Benefits
Match by simulation the most efficient
hybridization architecture with the machine typical
working cycle
Solution
Models of the backhoe loader hybrid architectures
developed with LMS Imagine.Lab AMESim,
computing among other vehicle velocity, power
requested from the combustion engine and
electrical engine, battery state of charge
Vehicle architectures: series hybrid, split hybrid
and parallel hybrid
Cycles: roading and lorry loading
Challenges
Analyze the performance and the energy
consumption of various hybrid electric powertrain
on typical duty profiles:
JCB relies on LMS Imagine.Lab AMESim
for vehicle hybridization
Source: Simulation and analysis of powertrain
hybridisation for construction equipment, Dariusz J.
Pióro, J.C. Bamford Excavators Limited
JCB relies on LMS Imagine.Lab AMESim
for vehicle hybridization
powertrain on typical duty profiles
Analyze the performance and the energy consumption of various hybrid electric
Source: Simulation and analysis of powertrain hybridisation for construction equipment, Dariusz J. Pióro, J.C. Bamford Excavators Limited
JCB relies on LMS Imagine.Lab AMESim
for vehicle hybridization
Analyze vehicle velocity, power requested
from the combustion engine and electrical
engine, battery state of charge
Cycle simulated: Roading
Source: Simulation and analysis of powertrain
hybridisation for construction equipment, Dariusz J.
Pióro, J. Shepherd, J.M.Maciejowski, J.C. Bamford
Excavators Limited
JCB relies on LMS Imagine.Lab AMESim
for vehicle hybridization
Source: Simulation and analysis of powertrain
hybridisation for construction equipment, Dariusz J.
Pióro, J. Shepherd, J.M.Maciejowski, J.C. Bamford
Excavators Limited
Benefits
Simplify the optimization process, by minimizing the
need for time consuming tests.
Solution
Detailed dynamic model of the vehicle using LMS
Imagine.Lab AMESim, including: Diesel engine,
hydraulic pump and motors, accumulators, hydraulic
lines, valves and auxiliary functions (charge pump,
pressure relief valves…)
hybrid system (braking energy regeneration).
Develop a global optimization process of an hydraulic
Challenges
Poclain Hydraulics optimizes an hydraulic hybrid system
using LMS Imagine.Lab AMESim
Source: An hydraulic hybrid system using radial
piston P/M: control and efficiency, Y. Brunel, G,
Lemaire, Poclain Hydraulics Industrie, IFPE 2011 52nd National Conference on Fluid Power, March
23-25, Las Vegas, USA
“Simulation models are essential for the optimization of the sizing of the components as well
as the dynamic validation of the controlled system. The use of a AMESim dynamic model
allows simplifying this process, by minimizing the need for time consuming tests.”
Y. Brunel, G, Lemaire, Poclain Hydraulics Industrie
Strategy for braking
energy regeneration
Poclain Hydraulics optimizes an hydraulic hybrid system
using LMS Imagine.Lab AMESim
Parallel Hybrid configuration:
The main variable displacement pump,
associated to the diesel engine, drives the front
wheel motors M1 and M1’ (main continuous
variable transmission) and high and low
pressure accumulators are connected to the
rear wheel motors M2 and M2’ (parallel hybrid
transmission).
Source: An hydraulic hybrid system using radial piston P/M: control and
efficiency, Y. Brunel, G, Lemaire, Poclain Hydraulics Industrie, IFPE 2011 52nd National Conference on Fluid Power, March 23-25, Las Vegas, USA
Hybrid system optimization methodology (sizing and control)
Poclain Hydraulics optimizes an hydraulic hybrid system
using LMS Imagine.Lab AMESim
Vehicle model validation
Hydraulic regeneration
system with discrete
variable displacement
motor
Source: An hydraulic hybrid system using radial piston P/M: control and efficiency,
Y. Brunel, G, Lemaire, Poclain Hydraulics Industrie, IFPE 2011 - 52nd National
Conference on Fluid Power, March 23-25, Las Vegas, USA
FTP-72 (UDDS)
driving cycle phase 2
the second one is from the
optimization algorithm and results in
using the accumulator at higher
pressure level
fuel consumption reduction: -17,5%
fuel consumption reduction: -9,6%
Energy regeneration management:
the first solution consists in releasing
energy each time until emptying the
accumulator
Poclain Hydraulics optimizes an hydraulic hybrid system
using LMS Imagine.Lab AMESim
Engine management
optimization only
Source: An hydraulic hybrid system using radial
piston P/M: control and efficiency, Y. Brunel, G,
Lemaire, Poclain Hydraulics Industrie, IFPE 2011
- 52nd National Conference on Fluid Power,
March 23-25, Las Vegas, USA
Thank you
Lionel Brioglia, Product Manager – Fluids and Electromechanical, LMS Simulation Division
[email protected]
Joon Decock, Area Manager Nordic, HQS LMS International
[email protected]
Reference Paper from Poclain Hydraulics Industrie
22 copy right LMS International - 2009
Reference Paper from JCB
23 copy right LMS International - 2009