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$40 USD /timme

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farmington,

$40 USD /timme

Datum, tid och plats: 10:13 fm

Gick med oktober 23, 2017

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Vera O.

@Veraqyoy

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$40 USD /timme

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farmington,

$40 USD /timme

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Professional Engineer

Aspiring engineer with enthusiasm and professional abilities in modeling and simulation, active control, mechanical engineering and mechanism design detecting hopes to make some progress in field of vehicle engineering or control engineering as well as pursuing tech revolution.

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Portfolio

6367005

An innovative combustion strategy was developed for a 1.8L Gasoline Direct Injection engine over a wide range of engine speeds and loads. The engine was operated with a robust partially premixed combustion mechanism controlled by EGR and VVT variations. Different combustion modes were identified with focus on solidifying combustion phasing advantage across great spectrum of driving cycles. Injection parameters were used to control mixture stratification and combustion phasing using a multi-faceted regime for load divergence. Fuel consumption and engine-out emission index were minimized utilizing collaborated EGR and multi-injection strategy pertinent to real-time load characteristics. The simulation conducted in GT-POWER revealed robust combustion efficiency alongside uprising emission throughout full cycle operation within constraints for combustion noise.

Multi-mode Combustion Strategy for GDI Engine

An innovative combustion strategy was developed for a 1.8L Gasoline Direct Injection engine over a wide range of engine speeds and loads. The engine was operated with a robust partially premixed combustion mechanism controlled by EGR and VVT variations. Different combustion modes were identified with focus on solidifying combustion phasing advantage across great spectrum of driving cycles. Injection parameters were used to control mixture stratification and combustion phasing using a multi-faceted regime for load divergence. Fuel consumption and engine-out emission index were minimized utilizing collaborated EGR and multi-injection strategy pertinent to real-time load characteristics. The simulation conducted in GT-POWER revealed robust combustion efficiency alongside uprising emission throughout full cycle operation within constraints for combustion noise.

Multi-mode Combustion Strategy for GDI Engine

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

In this project, we propose an innovative solution for computing the lane change controller and synthesizing a feedback controller for autonomous vehicle application. We present a framework for online generation of robust motion planning algorithm with nonlinear dynamics subject to cluttered circumstanced, control constraints and online state constraints like obstacles.
Model predictive control framework is optimized with interactive motion matrix that takes into account ego vehicle and adjacent agents' motion intentions as well as interference possibility. Subsequently, a reinforcement learning algorithm is devised to prompt optimal solution to minimization of cost function comprised of time, jerk and fuel consumption.

Context-aware Lane Change Assistance with Active Steering

In this project, we propose an innovative solution for computing the lane change controller and synthesizing a feedback controller for autonomous vehicle application. We present a framework for online generation of robust motion planning algorithm with nonlinear dynamics subject to cluttered circumstanced, control constraints and online state constraints like obstacles.
Model predictive control framework is optimized with interactive motion matrix that takes into account ego vehicle and adjacent agents' motion intentions as well as interference possibility. Subsequently, a reinforcement learning algorithm is devised to prompt optimal solution to minimization of cost function comprised of time, jerk and fuel consumption.

Context-aware Lane Change Assistance with Active Steering

6363172

Energy Management Strategy

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

cad of engine piston in Solidworks

engine autocad

6367005

An innovative combustion strategy was developed for a 1.8L Gasoline Direct Injection engine over a wide range of engine speeds and loads. The engine was operated with a robust partially premixed combustion mechanism controlled by EGR and VVT variations. Different combustion modes were identified with focus on solidifying combustion phasing advantage across great spectrum of driving cycles. Injection parameters were used to control mixture stratification and combustion phasing using a multi-faceted regime for load divergence. Fuel consumption and engine-out emission index were minimized utilizing collaborated EGR and multi-injection strategy pertinent to real-time load characteristics. The simulation conducted in GT-POWER revealed robust combustion efficiency alongside uprising emission throughout full cycle operation within constraints for combustion noise.

Multi-mode Combustion Strategy for GDI Engine

An innovative combustion strategy was developed for a 1.8L Gasoline Direct Injection engine over a wide range of engine speeds and loads. The engine was operated with a robust partially premixed combustion mechanism controlled by EGR and VVT variations. Different combustion modes were identified with focus on solidifying combustion phasing advantage across great spectrum of driving cycles. Injection parameters were used to control mixture stratification and combustion phasing using a multi-faceted regime for load divergence. Fuel consumption and engine-out emission index were minimized utilizing collaborated EGR and multi-injection strategy pertinent to real-time load characteristics. The simulation conducted in GT-POWER revealed robust combustion efficiency alongside uprising emission throughout full cycle operation within constraints for combustion noise.

Multi-mode Combustion Strategy for GDI Engine

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

Based on a validated fourteen degree of freedom (DOF) full vehicle model with non-linear tire characteristics, a reference 3-DOF vehicle model is introduced to control yaw rate, sideslip angle, and steering angle of the vehicle body. The control actions are performed by coordinating differential braking moments across the front wheels, with the control action of the active steering through fuzzy logic controllers. The addition of Kalman filter state estimation leads to the performance refinement of vehicle stability control that contributed to the handling at extreme situations. Different standard cornering tests are conducted in MATLAB / Simulink environment such as J-turn, fishhook and lane change maneuvers. The simulation results show a substantial improvement in vehicle stability by employing the proposed active controller not only has strong robustness against uncertainties but also improves the transient response of the control system.

Advanced Yaw Stability Control System

In this project, we propose an innovative solution for computing the lane change controller and synthesizing a feedback controller for autonomous vehicle application. We present a framework for online generation of robust motion planning algorithm with nonlinear dynamics subject to cluttered circumstanced, control constraints and online state constraints like obstacles.
Model predictive control framework is optimized with interactive motion matrix that takes into account ego vehicle and adjacent agents' motion intentions as well as interference possibility. Subsequently, a reinforcement learning algorithm is devised to prompt optimal solution to minimization of cost function comprised of time, jerk and fuel consumption.

Context-aware Lane Change Assistance with Active Steering

In this project, we propose an innovative solution for computing the lane change controller and synthesizing a feedback controller for autonomous vehicle application. We present a framework for online generation of robust motion planning algorithm with nonlinear dynamics subject to cluttered circumstanced, control constraints and online state constraints like obstacles.
Model predictive control framework is optimized with interactive motion matrix that takes into account ego vehicle and adjacent agents' motion intentions as well as interference possibility. Subsequently, a reinforcement learning algorithm is devised to prompt optimal solution to minimization of cost function comprised of time, jerk and fuel consumption.

Context-aware Lane Change Assistance with Active Steering

6363172

Energy Management Strategy

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

Simulating air and fuel flow inside the modified inlet duct to visualize flow pattern and analyze flow properties distribution.

simulation and analysis of transient 3d flow

cad of engine piston in Solidworks

engine autocad

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