GLOBAL EV BATTERY SOC SENSOR MARKET

INTRODUCTION

A typical EV battery is made up of thousands of rechargeable lithium-ion cells that are linked together to form the battery pack. Lithium-ion cells are the most popular due to their low cost and ability to provide the best balance of energy storage capacity and price.

The state of charge (SOC) is a percentage measurement of the amount of energy available in a battery at a given point in time. 

GLOBAL EV BATTERY SOC SENSOR MARKET SIZE AND FORECAS

The Global EV battery SOC sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.

NEW PRODUCT LAUNCH

SOC Estimation of Lithium-Ion Battery for Electric Vehicle Based on Deep Multilayer Perceptron.One of the key indicators of the lithium-ion battery that impacts the operating range of new energy vehicles and the battery's safety is the state of charge (SOC).

The importance of SOC, however, cannot be quantified in any precise way. The algorithm used to estimate the state of charge is not very good right now. This developed a multilayer perceptron approach that has a significant effect on state estimation.

From a three-layer artificial neural network to an eleven-layer artificial neural network, the multilayer network is made to estimate the charged condition of lithium batteries.

The ten-layer fully connected neural network is the most effective at estimating the SOC after preprocessing the dataset and comparing various activation functions.

The two strategies of the BatchNormalization layer and Dropout layer operate together to avoid over-fitting of the multilayer perceptron algorithm. Long and short memory networks, recurrent neural networks, and extended Kalman filters all have their accuracy compared at the same time.

The most accurate network was created using multilayer perceptrons. Finally, the training and test errors perform well on the open dataset. The presented technique has improved various aspects of SOC estimation.

The structure of the enhanced multilayer perceptron algorithm satisfies the demand for lithium-ion battery SOC estimation. By supplementing the entire connection layer with a Dropout layer and a BatchNormalization layer, the algorithm's convergence and accuracy are sped up.

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many EV battery SOC sensor are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a Global EV battery SOC sensor and key vendor selection criteria
3. Where is the EV battery SOC sensor manufactured? What is the average margin per unit?
4. Market share of Global EV battery SOC sensor market manufacturers and their upcoming products
5. Cost advantage for OEMs who manufacture Global EV battery SOC sensor in-house
6. key predictions for next 5 years in Global EV battery SOC sensor market
7. Average B-2-B EV battery SOC sensor market price in all segments
8. Latest trends in EV battery SOC sensor market, by every market segment
9. The market size (both volume and value) of the EV battery SOC sensor market in 2023-2030 and every year in between?
10. Production breakup of EV battery SOC sensor market, by suppliers and their OEM relationship