Battery Management Systems Development with Simulink and Model-Based Design

Battery Management Systems development with Simulink

Explore the world of battery management systems (BMS) with Simulink and model-based design. Gain deep insights into battery pack dynamics, optimize operational cases, and elevate software architectures. Learn how to conduct early hardware testing, all while ensuring safer, more efficient, and longer-lasting battery pack performance.

  • 5194

The industrial landscape is undergoing a rapid transformation. The increasing demand for electrical power and growing dependence on battery pack energy storage have underlined the importance of battery management systems (BMSs). The use of BMS can ensure safe operation, maximum performance, and optimal battery pack lifespan under various charge-discharge conditions.

Unlocking BMS Potential with Simulink and Model-Based Design

To make a good BMS, you need to fully understand how a battery pack changes over time, test all possible scenarios thoroughly, look into different software architectures, and do hardware testing early on in the design process. Simulating BMS with Simulink® and model-based design offers a robust platform for engineers and researchers to achieve precisely this.

Elevating BMS with Model-Based Design

Model-based design goes a step further, offering a robust foundation for all design and development activities, including:

  • Desktop simulation of the design’s functional aspects
  • Formal verification and validation of industry standards
  • C or HDL code generation for real-time testing and implementation.

In this video, we discuss how you can develop battery management systems using Simulink and model-based design.

Discover BMS Development with Simulink and Model-Based Design

You’ll gain insights into:

  • Battery management systems (BMS): battery management system development with Simulink
  • Battery modeling: How to model batteries when designing battery-powered systems using Simulink and Simscape
  • Battery state of charge: Balancing and state of charge (SOC) estimation
  • Hardware-in-the-loop (HIL) testing: how to perform HIL simulation to validate and test battery management systems

Featured products

All products mentioned in this user story are developed by MathWorks.

Learn more

SciEngineer’ team can help you tackle your complex engineering projects.

Consulting

Consulting SciEngineer

Through our various Consulting Services, our experts will guide your team through industry-accepted best practices to improve application and model quality, manage increasing complexity, shorten the time-to-market cycle, and reduce the cost of implementation and maintenance.

Training

Training Courses and Events SciEngineer

Our training courses are designed to help organizations and individuals close skills gaps, keep up to date with industry-accepted best practices, and achieve the greatest value from MATLAB and Simulink.

Recommended Events

Recommended Posts

Motor Control Design with Simulink

Learn how to reduce motor control development time by using simulation models to design and verify control algorithms and deploy those algorithms to hardware using automatic code generation.

Ai robotics working on a car

AI: Driving the Industry Towards Greater Success

Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.

Machine Learning with MATLAB

Explore how MATLAB transforms the world of machine learning. Discover 5 areas where MATLAB can help solve diverse learning problems. From interactive apps to Simulink integration, we’ve got you covered.