20 beste Stellen als algorithm engineer in münchen, by – aktuell auf Personalsuche

Validation Lead – High Voltage Battery Management Systems (BMS) (m/w/d)
KPIT Technologies GmbH —München
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SIXT Germany —München
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Validation Lead – High Voltage Battery Management Systems (BMS) (m/w/d)

KPIT Technologies GmbH -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

MATLAB
Master
Simulink
Cyber Security
Elektrotechnik
Fahrzeugbau
Python
Deutsch

Vollständige Stellenbeschreibung

As the Validation Lead for High Voltage Battery Management Systems (BMS), you will own and drive the validation strategy and execution for core BMS functionalities in next-generation electrified passenger vehicles.

Your mission is to ensure that the BMS delivers robust energy management, precise state estimation, fault-safe operation, and long-term battery durability, aligned with stringent performance, safety, and premium vehicle expectations. This role requires a deep functional understanding of BMS algorithms and controls, combined with strong validation leadership across the full development lifecycle.

Key Responsibilities

BMS Functional Validation Ownership Define, validate, and ensure the performance of critical BMS functions, including:

State Estimation Algorithms:

SOC (State of Charge): accuracy across temperature and aging.
SOH (State of Health): capacity and resistance estimation.
SOP (State of Power): available charge/discharge power limits.
Energy throughput and lifetime prediction models.

Cell and Pack Management:

Cell balancing strategies (passive/active) and efficiency validation.
Cell voltage monitoring and deviation detection.
Current measurement accuracy and drift handling.

Thermal and Energy Management:

Battery thermal behavior under charge/discharge and fast charging.
Validation of thermal derating strategies.
Interaction with vehicle thermal systems and coolant loops.

Charging Control and Interfaces:

AC/DC charging behavior and limits enforcement.
Communication with charging systems (CCS protocols).
Fast charging performance, stability, and safety envelope.

Fault Detection and Diagnostics:

Detection of overvoltage, undervoltage, overcurrent, and short circuits.
Sensor failures and plausibility checks.
Diagnostic coverage and fault reaction strategies (Limp-home and degradation modes).

High Voltage Safety Mechanisms:

Isolation monitoring and leakage detection.
Contactor control strategies and pre-charge validation.
Thermal runaway detection, propagation mitigation, and shutdown.

Validation Strategy and Planning Define a comprehensive validation framework for all BMS functionalities across:

Levels: MIL / SIL / HIL / Vehicle levels.
Methodology: Develop requirement-based and scenario-based validation plans.
Traceability: Ensure traceability from system requirements to test cases and results.
Real-world Scenarios: Incorporate edge cases and usage profiles (e.g., extreme climates, aggressive driving, long-term aging).

Execution Across Validation Levels Lead validation activities in:

HIL setups for closed-loop BMS testing.
Battery pack and cell test benches.
Vehicle-level validation under real driving conditions.
Performance testing under temperature extremes, aging scenarios, and high-load conditions.

Functional Safety and Compliance

Ensure compliance with safety-critical BMS functionalities.
Support FMEA, DFA, and safety case development.

Integration and System-Level Validation Ensure correct interaction of the BMS with:

Electric drivetrain (inverter, e-motor).
On-board charger (OBC) and DC fast charging systems.
Thermal management systems.
Drive validation of cross-domain behaviors impacting range and performance.

Leadership and Stakeholder Management

Lead and mentor a team of validation engineers.
Interface with battery system design, software, and controls teams.
Collaborate with suppliers and external validation partners.
Drive technical alignment on validation methods, maturity, and quality.

Issue Resolution and Continuous Improvement

Lead deep-dive root cause analysis of BMS validation failures.
Drive improvements in model accuracy, test coverage, and automation.
Ensure robust documentation and audit readiness.

Required Qualifications

Education

Master’s degree in Electrical Engineering, Automotive Engineering, Mechatronics, or equivalent.

Experience

10+ years in automotive development with a focus on lithium-ion battery systems and BMS validation.
Proven experience validating core BMS functionalities (SOC, SOH, balancing, safety logic).
Experience in series production programs and vehicle integration.

Technical Expertise

Domain knowledge of battery electrochemistry, degradation, and advanced BMS algorithms.
Hands-on experience with HIL (dSPACE, Vector, NI) and CAN tools (CANoe, CANalyzer).
Knowledge of ASPICE V-cycle processes and ISO 26262 functional safety.
Proficiency in Python, MATLAB, and Simulink for validation and analysis.

Preferred Qualifications

Experience with 800V architectures and high-performance EVs.
Exposure to fast charging validation and energy optimization.
Familiarity with ISO 21434 (cybersecurity).
German language skills are beneficial.

SOC, SOH, SOP,HIL,SIL,Mil,BMS,CAN, Aspice,Validation

Jetzt bewerben

Erweiterte Suche

algorithm engineer Jobs in münchen, by

Validation Lead – High Voltage Battery Management Systems (BMS) (m/w/d)

Principal BMS Industrial System Architect (m/f/d)

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich

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Lead Principal Engineer Formal Verification (f/m/div)

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Channel Growth Manager (m/f/d)

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Working Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)

Engineering Manager, Product Engineering

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