Battery fault diagnosis project
Photo by rawpixel on Unsplash-Laboratory project. Study battery loss curves and predict whether aging. Based on battery aging data.
-Using Tensor-flow tools and design RNN-LSTM neural network model.
-The initial data is from NASA laboratory data. Using battery aging data to train the model.
-Finished model and get more than 95% accuracy. Complete project review.
Hengchao wang
Computer Science, M.S. Software Engineering, M.Eng.
My research interests include distributed robotics, mobile computing and programmable matter.