Automated EV Battery Degradation Reporting with n8n
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This n8n workflow automates the generation of EV battery degradation reports by processing data via a webhook, splitting it, embedding it, and storing it in a Redis vector store. It then uses an AI agent to query and synthesize information, finally logging the report to a Google Sheet.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of generating and reporting on Electric Vehicle (EV) battery degradation. It leverages n8n's powerful integrations to create a seamless data pipeline for analyzing battery health. The workflow begins by receiving data through a Webhook, which is then processed and chunked using the Splitter node. These chunks are converted into embeddings using the Embeddings node (Cohere), which are then inserted into a Redis vector store via the Insert node. For querying and analysis, a Query node interacts with the Redis vector store, facilitated by the Tool node. An AI Agent (powered by OpenAI's Chat and Memory nodes) synthesizes the information, and the final report is appended to a Google Sheet using the Sheet node.
This workflow is ideal for automotive companies, fleet managers, or researchers who need to consistently monitor and report on EV battery performance, enabling proactive maintenance and optimization.
Key Features
- Automated data ingestion via Webhook
- Efficient text splitting and embedding for analysis
- Scalable data storage and retrieval with Redis vector store
- Intelligent reporting and synthesis using AI agents
- Seamless logging to Google Sheets for easy access and review
How To Use
- Configure the Webhook: Set up an incoming webhook to send your EV battery degradation data to the
Webhooknode. - Set up Redis and Cohere Credentials: Ensure your Redis and Cohere API credentials are correctly configured in n8n.
- Configure OpenAI Credentials: Provide your OpenAI API credentials for the AI agent.
- Set up Google Sheets Credentials: Authorize n8n to access your Google Sheets and specify the
SHEET_IDandLogsheet name for saving reports. - Adjust Splitter and Embedding Parameters: Fine-tune the
chunkSizeandchunkOverlapin theSplitternode and select your preferred model in theEmbeddingsnode as needed. - Define Agent Prompt: Customize the
Agentnode'stextparameter to define how the AI should process and report on the data. - Activate the Workflow: Trigger the workflow by sending data to the webhook.
Apps Used
Workflow JSON
{
"id": "b574b460-2aea-4c61-8406-f93eff8cb86d",
"name": "Automated EV Battery Degradation Reporting with n8n",
"nodes": 0,
"category": "Automotive",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: b574b460-2aea...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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