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Cloud-based battery solutions offer more power and a longer service life. Our four basic services boost battery performance and increase residual value security.
Continuous data analysis allows you to constantly monitor battery performance. Detecting anomalies early enables timely countermeasures, reducing warranty costs and the likelihood of failures.
Shorter development times and emerging technologies lead to greater risks in volume production. Our cloud-based battery service continuously monitors the batteries of electric vehicles, identifies stress factors, and indicates potential anomalies at an early stage. Based on this information, battery failures can be avoided with greater reliability. This optimizes the operation of entire vehicle fleets.
We consolidate competencies from the areas of batteries, artificial intelligence, big data, and energy management. This allows us to produce end-to-end solutions for battery lifetime monitoring, which can be integrated into various architecture concepts. Our cloud-based services are tailored to your existing battery type and connected to your established cloud infrastructure.
Prevent premature battery aging
Premature battery aging is attributable to different factors, which are often related to usage behavior. Our lifetime monitoring identifies these stress factors and detects anomalies at the battery’s cell, module, and package level at an early stage. Smart algorithms analyze the vehicle data in the cloud, applying the principle of swarm intelligence: It takes into account not only the battery data from individual vehicles but also from the entire fleet.
Use of digital twins and artificial intelligence
The data acquired in connected vehicles is transmitted to a cloud, where a digital twin exists for each battery. Our virtual, cloud-based copy of real batteries comprises electrochemical and data-driven models combined with battery data. To detect potential anomalies at cell or module level, we employ hybrid models that combine electrochemical models with machine learning methods. The combination of electrochemistry and artificial intelligence ensures particularly accurate analyses of battery data with minimal uncertainty.
With our self-learning cloud service, you can make accurate, long-term predictions regarding battery aging. This allows you, as a manufacturer, to plan more effectively and minimize financial risks.
A visual inspection is insufficient to assess the condition of the batteries in electric vehicles, particularly regarding the remaining service life and capacity of batteries in the field. Based on real usage data from connected vehicles, our innovative service makes an accurate, long-term prediction regarding battery condition and performance. Our solution uses sophisticated methods that combine artificial intelligence with precise electrochemical battery models to achieve particularly accurate predictions.
We consolidate competencies from the areas of batteries, artificial intelligence, big data, and energy management. This allows us to produce end-to-end solutions for aging prediction, which can be integrated into various architecture concepts. Our cloud-based services are tailored to your existing battery type and connected to your established cloud infrastructure.
Use of self-learning systems
Battery data from the connected vehicles in the field is acquired on a continuous basis and transmitted to the Bosch cloud, where it is analyzed and evaluated using smart algorithms. The battery service not only calculates current battery condition but also provides long-term predictions and identifies critical conditions in advance. To calculate the current and future battery condition in electric vehicles, we employ hybrid models for data analysis purposes. These combine physical battery models with artificial intelligence and large volumes of battery data (big data). The result is a self-learning system that can calculate and predict battery condition as well as the remaining lifetime and performance with extreme accuracy and reliability.
Benefit from vehicle-specific charging configurations. They will increase battery life, reduce charging times, and protect your batteries in operation.
The traction battery is among the most important and costly components of any electric vehicle. Battery aging and loss of performance can impair the driving experience by decreasing the electric vehicle’s range and can result in considerable costs when the battery needs repair or replacement. The cloud-based battery service calculates vehicle-specific charging configurations to extend battery life or to enable shorter charging times while also protecting the battery.
We consolidate competencies from the areas of batteries, artificial intelligence, big data, and energy management. This allows us to produce end-to-end solutions for battery lifetime optimization, which can be integrated into various architecture concepts. Our cloud-based services are tailored to your existing battery type and connected to your established cloud infrastructure.
Targeted measures for extending battery lifetime:
Our smart services for preserving battery health during charging optimize the operating conditions of the traction battery in various ways and thereby help to extend battery lifetime. Based on battery data from the connected vehicle, the cloud-based system uses electrochemical models to identify stress factors for the battery and actively helps to reduce these.
With our certification service, you can reliably assess the actual health status and residual value of a battery at any time. This helps to make your business more plannable.
The condition of the traction battery in an electric vehicle is crucial to the residual and resale value of both the vehicle and the battery itself. Uncertainty about what the battery is still worth can severely impair the business activities of many players in the electromobility ecosystem. From vehicle owners and sellers to fleet operators, leasing companies, and recycling businesses: our certification service provides certainty about the actual health status and residual value of a battery.
We consolidate competencies from the areas of batteries, artificial intelligence, big data, and energy management. This allows us to produce end-to-end solutions for usage certificates, which can be integrated into various architecture concepts. Our cloud-based services are tailored to your existing battery type and connected to your established cloud infrastructure.
How we create your certificates
All data for batteries is collected and displayed in our cloud-based battery service. All stress factors that the battery has already been subjected to during its life cycle are taken into consideration. This is used to calculate the remaining service life. Transparent and tamper-proof information about the actual battery condition is always available in the digital twin. Users can download the certificate as a digitally signed PDF or can have it sent by email. Paper printouts of the certificate are protected by a watermark. All key performance indicators for identifying and predicting battery condition have been developed in close cooperation with partners from the electromobility ecosystem, ensuring that all relevant data for evaluating the battery condition is recorded. In addition, all processes relating to battery data acquisition have been independently tested and verified by the German Association for Electrical, Electronic and Information Technologies (VDE).
Do you have any questions? Feel free to contact our expert.
Benedikt Roith, Solution Consultant
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