The design of control systems for hybrid electrical vehicles (HEVs) and electric vehicles (EVs) is a topic that is receiving considerable research and development interest. The main problems involved are concerned with energy management involving range extension and a reduction in battery degradation. The well know optimal control problems for energy management are often referred to as the ECMS and adaptive ECMS methods.
ISC has mostly been involved in the development of novel predictive control algorithms that have provided real benefits particularly with respect to the battery degradation and lifetime.
ISC provides independent, high quality control engineering consultancy and R & D services to the EV/HEV powertrain control and specialises in:
Optimal control solutions can range from simple classical feedback/feedforward to advanced control, such as model-based methods like MPC. In all cases, simplicity remains a key objective in our solutions, providing performance criteria can be met.
Over the years, ISC has delivered many training courses to Ford, Cummins, Chrysler, Toyota and Jaguar, ranging from introductory level courses for groups who need an awareness of control applied to engines to advanced control topics for research teams.
We have powertrain control specific materials, including hands-on with simulations of engines where different methods of engine control can be studied to support our lectures.
We can adapt individual courses to suit your company's needs.
We provide standard, industry specific and bespoke courses on a range of fundamental and advanced control engineering topics.
ISC has been in co-operation with NXP and, using the NXP GreenBox in-the-loop simulation facility, has demonstrated the real benefits of novel predictive control algorithms in reducing battery degradation and increasing battery lifetime. The model predictive control approach provides more degrees of freedom in the design process, enabling the various trade-offs to be made and constraints to be satisfied.
Hybrid control theory provides a unified framework for the control of continuous variables such as torque and lambda and discreet event variables that involve logic and determine switching. Work with the client involved Variable Structure Engines, that is the control of engines with a variable number of cylinders available. An MPC algorithm was developed to demonstrate the ideas. One of the benefits of hybrid systems theory is that computer software engineers that arrange switching functions can work in the same framework as engineers working on the continuous control of engines. There are real benefits in providing a common tool to merge these rather disparate tasks.