Comprehensive Data Solutions for EV Batteries

Optimize performance with advanced data collection and analysis for electric vehicle batteries.

Innovating Data Solutions for Industries

At Siemens Industries, we specialize in comprehensive data collection and analysis for electric vehicle batteries, ensuring optimal performance through advanced data processing techniques.

A car dashboard display showing various metrics including battery level, fuel range, odometer reading, and Bluetooth audio connectivity. The display includes indicators for power usage in kilowatts, EV range in miles, and a speedometer set to zero mph. The dashboard has a sleek, modern design with vibrant colors.
A car dashboard display showing various metrics including battery level, fuel range, odometer reading, and Bluetooth audio connectivity. The display includes indicators for power usage in kilowatts, EV range in miles, and a speedometer set to zero mph. The dashboard has a sleek, modern design with vibrant colors.

Data Analysis Services

Comprehensive data solutions for EV battery management and operational efficiency enhancement.

Data Collection Plan

Establishing a robust framework for gathering essential data from various sources for analysis.

Data Pre-Processing

Implementing noise reduction and normalization techniques to ensure data accuracy and reliability.

A modern electric vehicle is parked and charging at a charging station outside a sleek, glass-panelled office building. The area is marked with designated parking lines and a sign indicating an electric vehicle charging zone. Tall grasses and ornamental plants line the pavement, adding a touch of greenery to the urban setting.
A modern electric vehicle is parked and charging at a charging station outside a sleek, glass-panelled office building. The area is marked with designated parking lines and a sign indicating an electric vehicle charging zone. Tall grasses and ornamental plants line the pavement, adding a touch of greenery to the urban setting.

Data Analysis

Comprehensive data collection and pre-processing for EV battery insights.

physical architecture

Utilizing BMS data, we analyze voltage, current, and temperature for optimal battery performance and longevity in electric vehicles.Cell: basic energy unit, mainstream types include:

Nternary lithium battery (NCM/NCA): high energy density (250-350Wh/kg), but poor thermal stability (thermal runaway starting temperature ~160℃), typically used in Tesla Model 3/Y (2170 battery);

Lithium iron phosphate battery (LFP): high safety (thermal runaway temperature > 240℃), low cost, but low energy density (140-200Wh/kg), BYD blade battery is a representative technology;

Solid-State battery (Solid-State): using solid electrolyte, energy density can reach 400-500Wh/kg, completely solving the risk of liquid electrolyte leakage, Toyota plans to mass-produce models equipped with it in 2027.

Energy Flow and Electrochemical Reactions

Charging process: The external power source converts AC power into DC power through OBC (on-board charger), lithium ions are released from the positive electrode (such as NCM), embedded in the negative electrode (graphite) through the electrolyte, and electrons reach the negative electrode through the external circuit, realizing the conversion of electrical energy into chemical energy;

Discharging process: lithium ions are released from the negative electrode and return to the positive electrode, and the electrons drive the motor to do work, and chemical energy is converted into electrical energy, with a typical efficiency of more than 90% (the efficiency of traditional fuel vehicle engines is only 30%).