Integrated Vehicle Health Management

Integrated Vehicle Health Management (IVHM) is a comprehensive solution involving the application of various disciplines such as diagnostics and prognostics to detect intermittent faults and anomalies within complex vehicle systems.

Incorporating 30 years of experience with similar technologies, the award-winning OnRAMP Design and Calibration Suite of linear and non-linear model predictive controls streamlines our IVHM portfolio. Our knowledge and experience of automotive systems and advanced toolsets have helped automakers design and improve engines to be more reliable and more fuel efficient, thereby improving emissions profiles and reducing material costs.

Applying IVHM tools to automotive repair and maintenance can reduce unnecessary repairs and costs by 50 percent while optimizing planned vehicle maintenance schedules and logistics, decreasing unnecessary vehicle downtime and loss of productivity.

IVHM methods enable better management of individual vehicle and fleet health as a result of:

• Anticipating and fixing faults before they actually occur
• Improving vehicle utilization through better maintenance scheduling
• Enhancing vehicle or fleet reliability through a more thorough understanding of the real-time health of the system and prognosis-based maintenance
• Reducing unnecessary and unscheduled maintenance.

 

SYSTEM ARCHITECTURE

IVHM Architecture
1. Better methods for diagnosing issues save vehicle and fleet owners from expensive repairs or time wasted attempting to determine the root cause of interdependent vehicle systems.

2. The vehicle or fleet owners benefit from vehicles repaired right the first time and faster through improved identification of systemic issues.

3. Predicting system or component failure reduces operational disruptions and improves vehicle or fleet readiness by up to 5 to 8 percent.

TECHNICAL PAPERS

 

Analysis of Warranty Data to Identify Improvements to Vehicle Reliability and Service Information

Authors: N. Mikulec, T Felke, S. Bangale at SAE 2017 World Congress, Detroit, MI, USA
Release date: April 4-6, 2017
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Automated Generation of Service Procedure Content from IVHM Fault Model

Authors: D. Hall, T. Felke at SAE 2017 World Congress, Detroit, MI, USA
Release date: April 4-6, 2017
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Integration of Component Design Data for Automotive Turbocharger with Vehicle Fault Model Using JA6268 Methodology

Authors: T. Felke, S. Holland, S. Raviram at SAE 2017 World Congress, Detroit, MI, USA
Release date: April 4-6, 2017
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Experience the Transportation Systems Portfolio