Sr. BMS Engineer - Algorithm

Supernal • Other US Location

Company

Supernal

Location

Other US Location

Type

Full Time

Job Description

Supernal is at the forefront of creating emerging mobility solutions that will foster the development of human-centered cities. We are designing a completely new electric vertical take-off and landing (eVTOL) aircraft tailored to the mobility needs of future cities. This allows passengers a seamless intermodal journey that safely transports them to their final destination. We fuse research in autonomy, robotics, aviation and services to define a new category of mobility for the world’s communities. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people’s ability to move – whether for work or play.

What we do:

The BMS Engineer - Algorithm focuses on research & development of Battery prediction algorithms for different cell chemistries used in our Energy Storage Systems (ESS). The role is responsible for developing algorithm requirements, research & development, and verification of algorithms after implementation in BMS. This role collaborates with other HW / SW / Cell Engineers in Battery team and other multi-functional team members to develop Algorithm requirements and to support integration testing at Powertrain, ESS system, or Cell module level.

What you can do:
  • Requirements development for different performance prediction algorithms
  • Research & Development of dynamic & high-fidelity battery cell models for use in system modeling, battery gauging & charging for high voltage battery packs
  • R&D of algorithms to estimate available State of Energy (SOE) and dynamic State of Power (SOP) of battery pack based on system load profiles and prediction requirements using multiple techniques that give redundant and robust solutions
  • Verification of models and algorithms developed using MIL, SIL, PIL and HIL techniques at battery pack level and support similar activities at system level (System in the Loop testing)
  • Verification of model parameter tracking and prediction algorithm accuracies against HW and environmentally induced parameter variabilities using multi domain models (Thermal, electrical) at battery pack level
  • Development of test strategies and harnesses for models and algorithms to eliminate issues early in the design phase
  • Optimization of algorithm to work within real time computer resource constraints like CPU cycles, memory, and power consumption
  • May require up to 10% of domestic and international travels
  • Other duties as assigned
What you can contribute:
  • Bachelors degree in Control Systems, Mechanical or Electrical Engineering (Emphasis in battery modeling and gauging Algorithms)
  • A minimum of five (5) years of demonstrated battery algorithm development experience in automotive, industrial or consumer electronics or aerospace industries (an equivalent combination of education and experience may be considered)
  • Demonstrated experience in developing battery prediction algorithms like SOC, SOH, SOP and SOE and launched in a product
  • Proven experience in developing battery cell models (ECM, Particle or other) for system simulation
  • Significant experience in developing model parameter tracking algorithms
  • Experienced in using sophisticated control techniques like EKF, state observers, machine learning, multi parameter optimization techniques for algorithms
  • Excellent chemical understanding of rechargeable Li Ion chemistries, their limitations and control opportunities
  • Strong mathematical fundamentals to develop solutions to complex control problems
  • Intermediate to advanced skills in modeling tools like Matlab, Simulink, Stateflow, Simscape including Matlab optimization toolboxes
  • Good programming skills in languages like C, C++ for real time applications
  • Good data analysis skills and scripting skills to process large volume of data
  • Basic Electrical or Mechanical engineering background to understand cell behavior due to load changes and thermal changes
  • Excellent skills in communication, problem solving and critical thinking
  • Excellent skills required in technical communication, and reliance on data for issue resolution and decision making
  • Sense of urgency, proactive delivery of communication and follow up
  • Excellent organizational skills, team-oriented thinking, and attention to detail
  • Proficiency with MS Office Suite specifically for data analysis, document creation and reporting
You may also be able to contribute:
  • Master’s degree
  • Understanding of DO-178C compliance for SW development is a plus

Any offer of employment is conditioned upon the successful completion of a background check. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, citizenship, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Individuals with disabilities may request to be provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at: [email protected]

This position may include access to certain technology and/or software source code, that will be subject to U.S. export control laws. If an export license or other export control authorization is required in connection with your employment, your employment is contingent upon Supernal’s receipt of such license or authorization and approvals and your continued compliance with all conditions and limitations contained in such license or authorization.

Base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a bonus as part of total compensation.
The pay range for this position is:
$166,400—$232,960 USD

Click HERE or visit: https://jobs.supernal.aero/benefits to view our benefits!

Apply Now

Date Posted

04/14/2023

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