Work

Selected project and research notes on embedded control software, diagnostics, and validation.

Selected Projects

Selected project contexts that point to deeper notes on system behavior, embedded control software, diagnostics, validation, and production constraints.

Electric truck connected to a charger in snowy test conditions

Electric Truck Thermal Management and BMS Systems

Scania

Embedded control software for coordinating battery, charging, auxiliary, and thermal behavior in heavy-duty electric vehicles.

  • BMS
  • Thermal control
  • Charging behavior
  • Diagnostics
  • Calibration
  • Vehicle validation
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Autonomous electric haulers operating in a quarry

Autonomous Electric Hauler Propulsion Control

Volvo Construction Equipment

Propulsion-control software for autonomous electric machines operating in demanding off-road environments.

  • Traction control
  • Torque allocation
  • Redundant actuators
  • Diagnostic monitoring
  • SIL/HIL
  • Vehicle validation
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E-bike motor and crank area after off-road use

E-Bike Motor Control and Power Electronics Software

MAHLE

Application-layer embedded software connecting motor-control behavior, thermal modeling, wireless charging, and converter functionality.

  • PMSM thermal modeling
  • AUTOSAR-oriented architecture
  • DC/DC interfaces
  • Power electronics
  • Bench validation
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Heavy-duty engine test bench with sensors and measurement cables

Heavy-Duty Engine Diagnostics and Control Research

Lund University / Scania

Real-time diagnostic and combustion-control prototypes for heavy-duty engine systems with experimental validation.

  • Diagnostics
  • Closed-loop control
  • Virtual sensing
  • Stochastic detection
  • Patents
  • Publications
  • Test-bench validation
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Selected Research

Research-connected notes from Lund University / Scania on diagnostics, control algorithms, virtual sensing, experimental validation, and real-time implementation. The CV research record contains the formal publication and patent record.

Virtual Sensing for In-Cycle Combustion Diagnostics

Research on estimating combustion states that are difficult to measure directly during engine operation.

Technical area

  • Virtual sensing
  • In-cycle estimation
  • Combustion diagnostics
  • Heavy-duty engines

Research outcomes

  • Developed model-based estimators for combustion states not directly available to production control logic.
  • Validated virtual-sensing behavior using heavy-duty engine test-bench data.
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Stochastic Fault Detection and Diagnostic Decision Logic

Research on detecting abnormal combustion-system behavior using probability, sensor data, and diagnostic thresholds.

Technical area

  • Stochastic detection
  • Misfire diagnosis
  • Adaptive thresholds
  • Sensor fusion
  • Diagnostic logic

Research outcomes

  • Developed diagnostic decision methods for combustion fault detection.
  • Evaluated diagnostic robustness under changing operating conditions.
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Predictive In-Cycle Combustion Control

Research on predictive closed-loop controllers that adjust fuel injection within the same combustion cycle.

Technical area

  • Closed-loop control
  • Predictive control
  • Combustion control
  • Model adaptation
  • FPGA implementation

Research outcomes

  • Developed predictive controllers for cycle-resolved combustion regulation.
  • Validated control robustness under model uncertainty and changing fuel conditions.
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Stochastic Set-Point Optimization for Efficiency

Research on using stochastic combustion models and Monte Carlo simulation to optimize combustion-control set-points.

Technical area

  • Efficiency optimization
  • Stochastic modeling
  • Monte Carlo simulation
  • Set-point optimization
  • Constraint handling

Research outcomes

  • Developed set-point optimization methods for combustion efficiency.
  • Evaluated trade-offs between efficiency, pressure-rise constraints, and misfire risk.
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Real-Time Combustion Control Implementation

Research on implementing combustion observers, virtual sensors, and control algorithms under real-time hardware constraints.

Technical area

  • Real-time implementation
  • FPGA
  • Hardware-constrained systems
  • Signal processing
  • Embedded control

Research outcomes

  • Implemented in-cycle combustion-control methods for real-time execution on FPGA hardware.
  • Quantified timing, resource, and implementation constraints for embedded control deployment.
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Explore Technical Areas

The projects and research notes differ in system context, but they share a common engineering base: software that controls physical behavior, handles diagnostics and constraints, and is validated across models, lab environments, and real systems.

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