zzfd97 / smart-battery-management-system

Using machine learning to estimate the state of charge of lithium ion batteries for electric vehicles

smart-battery-management-system

Using machine learning to estimate the state of charge of lithium ion batteries for electric vehicles

Code is for the STM32 F334 module.

Programming has only been tested in Mac OSX. It will mostly likely work on Linux with no problems (yay for Unix based OS) but sorry Windows people, you're on your own.

Steps to build Makefile

1. Generate the make file using the STM32 Cube generator for the STM32 F334 chip

2. Install gcc-arm-embedded library

brew install Caskroom/cask/gcc-arm-embedded

3. Edit the Makefile generated to ensure BINPATH points to the location of gcc-arm-embedded

4. Compile the files with

make

5. Install st-link

brew install stlink

6. Add a flash command to Makefile that programs STM32

flash: $(BUILD_DIR)/$(TARGET).bin
	st-flash --reset write $< 0x8000000

7. Program the STM32 with

make flash 

If all goes well then everything is set up correctly!

To program STM32f334

1. First clean up any old build files with

make clean

2. Then run the build

make

3. Then you can program the chip using

make flash

Then all should work, yay!