This chapter presents a load balancing method for dual CAN bus to maximize the use of network bandwidth. The CAN (controller area network) is a serial communication protocol gaining widespread acceptance in automotive and automation industry. The network uses dual bus to improve network bandwidth and performance. The data traffic of CAN bus is degraded on high-load conditions. This chapter proposes a load balancing allocation algorithm using fuzzy control to obtain the maximum data traffic. The load balancing allocation algorithm introduced in the chapter is validated on a four-node dual CAN bus system. Each CAN node uses a LPC2119 ARM development board as hardware platform. The chip LPC2119 is based on the ARM7 CPU core with 2 CAN channels. Experiment results show that the fuzzy control is quite suitable for the load balancing control to improve the performance of dual CAN bus at high-load conditions.