Implementation and Evaluation of Predictive Concepts for Hybrid Electric Vehicle Fuel Economy Improvement 2015-26-0013
In the era where governmental agencies are perennially pushing automobile OEMs for reducing harmful emissions and customers looking for vehicles with better fuel economy values, it is imperative on the manufacturers to implement new technologies to appease them.
Of the many new technologies, the most promising ones are the new control strategies/algorithms which predictively access the road condition, weather, traffic situations and help automobile to function in the most efficient mode. These control strategies/algorithms are termed as “Predictive technologies”.
The most common way to assess the benefit of such new technologies is to simulate the vehicle behavior in conjunction with the existing complex control strategies of Hybrid vehicles in simulation environment.
Since such technology finalization is done at the start of a vehicle program, the simulation engineers face numerous challenges like, non-availability of exact vehicle specifications, need for quicker evaluations of new concepts, faster simulation time and scalable models for extending the scope of project.
To overcome such difficulties of concept creators while working with new technologies, a simulation environment has been created that is capable of providing quick results for new concepts. This paper intends to further explain the methodology of creating a simulation environment for a state-of-the-art technology like “Predictive Control Strategies” in Hybrid Vehicles, simulation setup based on VB and MS Excel platform for simulating the vehicle dynamics and Fuel Economy of a Full Hybrid vehicle and how complex control strategies can be Integrated into MS Excel Platform for a quick simulation.
Citation: Athreya, A., K R, S., and Sharma, D., "Implementation and Evaluation of Predictive Concepts for Hybrid Electric Vehicle Fuel Economy Improvement," SAE Technical Paper 2015-26-0013, 2015, https://doi.org/10.4271/2015-26-0013. Download Citation
Author(s):
Ashwini S. Athreya, Sreenath K R, Deepak Sharma
Affiliated:
Mercedes-Benz R&D India Pvt, Ltd.
Pages: 8
Event:
Symposium on International Automotive Technology 2015
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Hybrid electric vehicles
Fuel economy
Simulators
Vehicle dynamics /flight dynamics
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