Heavy-Duty Vehicle Telemetry
For Powertrains, Systems and Components
Whether you’re a vehicle OEM, sub-tier supplier or Operator, the transition to a low carbon economy and the electrification of vehicles is both challenging and a huge opportunity. By connecting to VPVision you can unite your hardware with the latest cloud computing services and unleash the power of Artificial Intelligence, Big Data Analytics and Edge Computing on to your vehicles and vehicle systems. Data is at the core of everything we do – we know powertrains and we know lithium-ion batteries because we design and make them here at Vantage Power!
With vehicle, powertrain and battery domain expertise on hand, and the absolute latest cloud computing capabilities, a VPVision connection means you can:
Lower the cost and improve the performance of your aftermarket service and support
Comply with complex legislation and future proof
Reduce the time-to-market for your new products
Manage your technical and operational risks more effectively
Innovate, including with existing products
Create new value streams
Get a custom solution bespoke to your application, business needs and exact requirements
Next-gen telemetry insights for
Hybrid and Electric vehicles
At Vantage Power we’ve designed and developed our own heavy-duty powertrains so we understand the systems and components used in their construction. Not only can we access the critical data from these devices, we know what the data means – so we can understand it, visualise and act on it in ways others simply don’t know how to.
VPVision is an end to end solution, from sensor to screen. We support projects from the initial requirements phase, through large scale deployment and support. Below is a list of available services:
From 1 to ~10 connected devices – we have seen trials greatly assist clients in specifying their ideal telemetry system. Trial phases typically consist of:
- Completing a partial / full integration of your application
- Transmitting the data required to enable a Proof of Concept
- Rapid modification to the user interface to meet user needs.
The objective of the trial is to be as quick and cheap as possible and act as a proof of concept. The user interface and data collected will be representative, help identify technical challenges and enable refinement of the system requirements pre-deployment.
We’d be delighted to hear what you need a telemetry system to do for you and for your customers. All requirements are different and we will work with you to establish a set tailored to your applications, organisation and specific problems. Requirements are presented in an easy to understand format and support a 3 phase approach:
- Trial phase
- Deployment phase
- Future phase
The purpose of the trial phase is to provide you with a working demonstrator you can use, as quickly and cheaply as possible. This phase enables your requirements to be refined based on actual use, before moving to a larger deployment.
VP will ensure you receive the best combination of cost and capability in your telemetry system, and help future proof the system inline with your aspirations.
VPVision is an end-to-end solution. We work with our clients to ensure an optimal integration with all connected devices, this can include the provision of wiring looms and brackets if required.
If a client has in-house integration expertise and wishes to locate, route and connect the telemetry hardware themselves, then our remote integration service allows them to do that.
On-board our hardware is a software platform and a library of standard signals. When connecting to a new application, all inputs signals are converted to match the library, and new signals are accommodated for. This configuration is completed in advance of visiting the vehicle for the first time – making integration times quicker.
It’s likely the on-board software platform will need to be configured to match your requirements. This might include the addition of calculations and analysis, loading geo-fenced maps, enabling custom triggers and modifying the available means of communication. VP will design and create a configuration unique to your application, optimising all options and ensuing you get the best solution.
Without confidence in the information being presented, missed critical events or flagging up false positives, a telemetry system isn’t much use. That’s why we offer a comprehensive validation service to ensure the data collected and the way it’s presented is a true reflection.
At an early stage, we ensure the raw data being obtained from a connected device is accurate. This includes operating the device and ensuring the data corresponds, simulating fault events to ensure they are captured and inducing edge-case scenarios to ensure a robust response.
With access to accurate raw data, VP can validate all applications and analysis remotely, including on-board calculations, data transmission, data storage, visualisation, reporting and alerts.
When clients connect their devices to VPVision they see the frequency, duration and circumstances of different fault events, they also see when faults should be flagged but are missing – this enables improvement areas in the fault management strategy to be identified.
At VP, we have a great deal of experience analysing the data and understanding the engineering behind fault codes. We will work with you to improve existing alerts or develop new alerts in response to new or complex issues on your connected devices.
In Heavy-Duty vehicles, systems from different suppliers are often interfaced and work in conjunction to form powertrains and ancillary systems. Some have onboard fault detection, but often the data required to detect a fault is picked up at the periphery by interfacing equipment. This means onboard detection systems are limited since they do not access or analyse data from interfacing equipment.
With VPVision, you can obtain data from interfacing systems or at a vehicle level that will enhance your fault management strategy. We can develop and trial new models for fault detection, enable vehicle to vehicle comparison, trend and analyse historical data and leverage new technology such as machine learning and big data analytics to enhance fault detection methods.
VPVision offers such a step change in fault management capability which means predicting faults before they happen becomes attainable and reliable. We have a tried and tested process that enables new fault management techniques to be conceived, validated and deployed fleet wide – quickly, cheaply and at very low risk.
VPVision will report on the real-world performance and compliance of connected components and vehicles, this can include geolocational information, operator inputs and control system status to ensure performance data is presented in context.
With an array of visualisation techniques available, clients can view and understand product performance throughout the duty cycle and identify improvement areas. VP can analyse data from individual vehicles or entire fleets over a period of a few seconds or many years, testing theories and looking for insights in the product performance. Alternatively, clients can be provided the data, tools and training to do this independently.
Software changes to improve product performance can be trialled and de-risked virtually, in the cloud, before deploying updates to operational vehicles. Over-the-air software updates can be used to modify the software on connected devices quickly and cheaply.
VPVision provides an end-to-end solution which includes the ability to collect data, visualise, analyse, trial, validate and deploy product improvements at scale.
Implementing a comprehensive telemetry system, optimising costs and benefits, and making use of some of the latest cutting-edge technology is not easy. At VP, we have technical support staff and domain experts that can support your business through the implementation phase, from concept through to deployment.
We also provide remote or in-person support during your day to day operation of VPVision to ensure you’re obtaining maximum benefit and value. We provide training, user guides and tutorials ensuring best practice can be applied throughout your organisation. If you have technical difficulties or questions – we are only a phone call away.
The VPVision telemetry technology breaks down in to 4 areas:
- On-vehicle equipment
- Cloud architecture platform
- Advanced capabilities
Edge 1.0 is a rugged, on-board unit that provides the hardware and software necessary to connect a vehicle, machine or component to the VPVision cloud platform. Multiple inputs and outputs in combination with a full integration service enable the hardware to deliver maximum flexibility. With an IP67 enclosure, the industrial grade protection ensures it can be deployed in harsh environments including engine bays.
Cutting-edge architecture and a robust set of configurable software modules mean the functionality can be modified and rapidly integrated into new applications. This unit is well suited for data processing and condition monitoring of mobile or static applications. The large memory and processing power ensure Edge 1.0 can leverage the latest software advances such as machine learning to perform fault prognostics.
The datasheet for the Edge 1.0 can be found below in the DOWNLOADS section below.
At the heart of VPVision sits the architecture which connects devices to the cloud and analyses data to create new insights. Created as a common platform it can be applied to new applications rapidly, at low cost and at breath-taking scale. The platform is configurable and can transmit and receive data in different ways, enabling an optimal combination of capability, security and cost.
VPVision’s cloud architecture is absolutely cutting-edge, benefitting from the latest tools offered by Amazon Web Services, the world’s largest cloud computing provider. With almost unlimited data storage capacity and processing power, our architecture can analyse and present vast amounts of data in seconds and extract patterns, trends and anomalies over millions of connected devices.
The main user interface to VPVision is the website which provides access to the apps and can be used as standard or customised to specific requirements. It’s browser based and compatible with PC, tablet and smart phone with no additional software required. Data is translated and presented as meaningful information which can be augmented by users who can add greater context.
Live data is typically presented within 2 – 5 seconds and historical data going back many years can be queried and presented within seconds. Admin controls ensure user access is tailored to specific features and devices, so the right information is presented to the right users.
The VPVision web interface can be provided as a white labelled product – Alternatively, a custom API can be provided to ensure the right data in the right format is delivered to wherever you need it.
VPVision leverages the latest cloud computing technologies to ensure it can deliver the most advanced and valuable capabilities. Available technologies include:
- Big Data Analytics
- Machine Learning
- Edge Computing
Machine learning has been used to train and detect macro level fluctuations and trends from data channels produced by lithium-ion batteries. This analysis has led to many benefits, including the ability to identify faults 1 month earlier than industry standard techniques.
Big data analytics has been used to analyse years of real-world driving and trillions of data points in order to simulate the effect of new control software and validate the code before deployment.
Edge computing technologies enable new analysis techniques which, for example, might generate new fault codes or prognostic alarms, to be developed and validated in the cloud, and then subsequently pushed to operate on board the Edge 1.0 hardware, saving data transmission and cloud compute costs.
The application of these new technologies within the heavy-duty vehicle sector is huge and the benefits are obtainable today.
VPVision is technology specific – not application specific.
We have experience with engines, generators, motors, lithium-ion batteries, cooling systems, control software and many other hybrid/electric powertrain and ancillary system technologies – if your application contains any of these, VPVision will add value.
Advanced Capabilities – Use Cases
Predictive diagnostics for vehicle battery management
Problem: Batteries are constructed of small individual cells which can suffer a fault known as excessive self-discharge, where undesired chemical reactions reduce the charge. The accuracy of electronic monitoring varies and some methods will only trigger a fault when the problem is well developed and already deteriorating battery performance or presenting a safety risk.
Solution: Using VPVision’s architecture, a model was created in the cloud to smooth out cell voltage readings and generate a moving average for each cell. On a daily basis, new pass/fail criteria for each battery pack is created taking in to account expected changes in performance as cells age with time and use. Each cell is evaluated against the daily pass / fail criteria and where cells are identified as dropping voltage faster than the rest, which is symptom of excessive cell self-discharge, a notification is triggered.
Result: Engineers are notified more than 1 month earlier than previous techniques allowed. The risk of failure can be assessed remotely and a service intervention scheduled to coincide with planned maintenance – which reduces down time and optimises the use of replacement parts and engineering resources.
Develop and deploy advanced fault management strategies
Problem: After a year in service, a subset of vehicles within a fleet of hybrid buses were suffering from the accelerated wear of a drive belt powering the ancillary systems. With multiple systems connected by one belt, initial investigations could not identify the root cause of the problem.
Solution: Using the architecture and data provided by VPVision, differences between the effected and un-effected vehicles were identified. This meant analysing trillions of data points looking for unusual behaviours, visualising data to spot new anomalies and utilising machine learning to find unexpected patterns and relationships. This demonstrated that effected vehicles suffered an elevated frequency of pressure fluctuations in a hydraulic circuit. This allowed the pressure relief valve to be identified as the root cause, its activation point had drifted and repeated activations created shock waves that transmitted to the failing drive belt. A model was created in VPVision allowing the whole vehicle fleet to be analysed and the risk to each vehicle was immediately understood. The model was then deployed to operate locally on each vehicle enhancing on-board fault management capability of the vehicle.
Result: Real-world operational data from a vehicle fleet was analysed and used to pinpoint the root cause of an emerging issue despite the faulty component being sensorless and non-data producing. The risk of the failure mode to the whole fleet was understood rapidly, remotely and at low cost – meaning service interventions could be prioritised and the cost exposure was understood. The analysis was deployed to operate on-vehicle, providing notifications and a risk level for individual vehicles. This deployment was conducted remotely and brings new advanced fault management techniques to the vehicle.
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