Emmeskay's expertise in Model-Based Systems Development (MBSD) has wide ranging applications. Here are just a few of the ways in which we apply our capabilities.
- Hybrid Electric Vehicles
- Hybrid Buses
- Alternative Energy Technologies
- Battery Technology
- Fuel Cells
- Biomedical Applications
In the last few years, the automotive industry has seen a dramatic increase in interest for Hybrid Electric Vehicles, or HEV's. Emmeskay has been performing Research & Development work in the area of HEV's since our founding in 1998. Emmeskay has supported OEM's and Tier-1 Suppliers in efforts that have lead to vehicles such as the Ford Hybrid Escape and the Saturn Hybrid Vue. We continue to work on the cutting edge of automotive technologies for the next generation of plug-in hybrids and other advanced technology vehicles.
While Hybrid Electric Vehicles have gained acceptance in the passenger vehicle sector, they have yet to reach significant market penetration for heavy vehicles such as school buses, city buses, or delivery trucks. However, it is precisely for such applications - with their frequent start / stop schedules - that hybrid vehicles can have the biggest impact. Emmeskay's experience in HEV system modeling makes us an ideal partner for organizations looking to evaluate hybridizing their fleet. In particular, we can help answer questions such as:
- What kind of hybrid vehicle makes sense for my fleet's needs?
- What are the benefits of a plug-in hybrid?
- What is the ideal size of the components like batteries and electric motors for the performance requirements of my fleet and the routes they drive?
- What kind of fuel savings should I expect for the proposed hybrid vehicle?
Today's advanced energy technologies come in a variety of forms: solar, nuclear, hydro, wind, etc. For applications such as wind energy, Model-Based Systems Development (MBSD) can be particularly useful for understanding the dynamics of the moving parts in order to achieve the desired power generation through drivetrain control. We have used dynamic simulation tools to predict the behavior of various wind turbine configurations. Working on renewable energy projects such as these help further Emmeskay's goal of providing advanced technology solutions in harmony with the environment and the society.
One of the key enablers for Hybrid Electric Vehicles is the battery technology. Emmeskay has been working closely with Tier-1 Battery suppliers to meet their growing demand in supporting next generation Electric Vehicles. Emmeskay has applied the Model-Based Systems Development (MBSD) process to many battery technology projects including the development of Model-in-the-Loop (MIL), Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) systems. Through these techniques, we have aided our customers in developing complete Battery Control Units through a rigorous, model-based approach.
Fuel cells have been touted as a promising future technology for power generation in mobile or industrial (stationary) settings. Emmeskay's background in multi-domain modeling has been leveraged to create simulations of Polymer Electrolyte Membrane (PEM) and Solid Oxide Fuel Cells (SOFC). Our thorough understanding of the chemistry and physics involved in fuel cell applications have enabled our customers to take a fuel cell from the concept stage to an embedded system in just 18 months.
Emmeskay's modeling capabilities are not limited to the mobility industry. We also have experience with simulating physiological responses for biomedical applications. In particular, our background in Verification and Validation (V&V) from the automotive sector enables us to enhance prototyping efforts for biomedical devices. For example, a computer simulation of the cardiovascular system can be used to test a prototype Ventricular Assist Device (VAD) before it is ever put into clinical testing. By simulating the high level physiological response of the patient, we can perform virtual (in silico) tests to answer questions such as:
- How does the device reacts to various loading conditions (e.g., the patient goes for a jog)?
- How does the device behave for a range of patients (e.g., patients of various sizes or ages)?
- How does the device behave for patients with conditions that may be difficult to test in clinical trials (e.g., a patient with kidney failure)?
- What happens if one of the sensors in the device fails?
The ability to address these questions before live subjects are ever introduced can greatly improve the safety, speed and cost effectiveness of medical device development.