- SIMULINK MODEL OF PARALLEL HYBRID VEHICLE VERIFICATION
- SIMULINK MODEL OF PARALLEL HYBRID VEHICLE CODE
With Fixed-Point Designer ™, the group converted the model from floating point to fixed point and ran a second round of desktop simulations to verify the quality of the conversion.
SIMULINK MODEL OF PARALLEL HYBRID VEHICLE CODE
To further refine the controller algorithms, the engineers quickly generated code from the model using Simulink Coder ™ and ran this code on a rapid prototyping controller against the real battery. In parallel, the team used test data to develop a Simulink model of the battery, which when used with the controller model, provided information about battery dynamics necessary to verify the controller design.Īfter unit testing, the team linked the controller model with the battery model in Simulink and ran desktop simulations to verify the basic functionality of the algorithms.
SIMULINK MODEL OF PARALLEL HYBRID VEHICLE VERIFICATION
“Continuous verification and the use of plant models for closed-loop simulation enabled us to identify and resolve problems early to ensure that our high quality standards were met or surpassed.” Challengeĭongfeng engineers used MathWorks tools and Model-Based Design to first design, simulate, and verify the battery management control system and then generate production code for it.Īfter requirements for the project had been established, they developed a baseline version of the controller model in floating point using MATLAB ®, Simulink ®, and Stateflow ®. Xiaokang Liu, principal engineer at DFEV. “A team of just six engineers developed the controller model and generated production code on schedule and on budget,” says Dr. However, because the control strategies for battery management and vehicle energy management are vital to performance and fuel economy in HEVs, and these controllers must be optimized and integrated on the vehicle level, DFEV decided to develop the electronic control systems for its HEVs in-house as part of its original intellectual property.Įngineers at Dongfeng used MathWorks tools and Model-Based Design to develop a sophisticated battery management control system for the Dongfeng EQ6110, a hybrid electric city bus that delivers 30% better fuel efficiency than standard city buses while lowering emissions. The company sources most components, such as traction motors and batteries, from suppliers. Dongfeng Electric Vehicle (DFEV) is responsible for the research and development efforts for electric vehicles and hybrid electric vehicles (HEVs) within Dongfeng Motor Company in China.