Model Based Design of xEV Powertrain Controls

2012-28-0023

01/09/2012

Event
International Mobility Conference
Authors Abstract
Content
Powertrain Control development has gone through many changes in terms of process, tools and practice at all OEM's across the geography. This is mainly driven by increased number of powertrain components for control, shorter development schedules, cost control, and the need to realize the potential of electronic control to increase the performance, efficiency, safety and comfort. With the significant advancement in Powertrain Controls and additions of electronic functions, it has become imperative to automate the controller development process in the V-cycle to reduce the time and make the process more efficient while detecting any logic failures upfront at the early stage of the development cycle. Traditional practices and tools of defining the controls cannot meet new requirements. Model Based Design (MBD) approach is a promising solution to meet the critical needs of powertrain control engineering to define the control logic and validate. It provides avenues to design, document and validate the control requirements without any ambiguity before implementation. It also enables integration of controls with the plant/environment model. Furthermore, autocode generation and rapid prototyping tools reduce the development time and cost and increases the accuracy of implementation. This paper gives an overview of adoption of model based design approach for Maruti Suzuki xEV powertrain control development using the tool MATLAB SIMULINK and its usage for HIL/MIL Testing, control design, autocode generation, simulation and calibration.
Meta TagsDetails
DOI
https://doi.org/10.4271/2012-28-0023
Pages
6
Citation
Khan, I., Madhukar, M., Narula, M., and Sahoo, T., "Model Based Design of xEV Powertrain Controls," SAE Technical Paper 2012-28-0023, 2012, https://doi.org/10.4271/2012-28-0023.
Additional Details
Publisher
Published
Jan 9, 2012
Product Code
2012-28-0023
Content Type
Technical Paper
Language
English