python实现ECMS算法
ECMS（Equivalent Consumption Minimization Strategy）算法是一种用于混合动力汽车能量管理系统的优化策略。它通过计算等效油耗来平衡电池电量消耗和燃油消耗，从而优化整体能耗。
以下是一个简单的Python实现，用于演示ECMS算法的基本思想。这个实现假设了一个简单的混合动力汽车模型，其中电池电量和燃油消耗是主要的优化目标。
import numpy as np | |
class HybridVehicle: | |
def __init__(self, initial_battery_soc, battery_capacity, fuel_efficiency, equivalent_factor): | |
self.battery_soc = initial_battery_soc # State of Charge (0 to 1) | |
self.battery_capacity = battery_capacity # Battery capacity in kWh | |
self.fuel_efficiency = fuel_efficiency # Fuel efficiency in km/L | |
self.equivalent_factor = equivalent_factor # Equivalent factor for converting electric energy to fuel equivalent | |
def consume_electricity(self, energy_kwh): | |
self.battery_soc -= energy_kwh / self.battery_capacity | |
if self.battery_soc < 0: | |
self.battery_soc = 0 | |
def consume_fuel(self, fuel_liters): | |
# No direct effect on battery SOC, but affects overall energy consumption | |
pass | |
def calculate_equivalent_consumption(self, electric_energy_kwh, distance_km): | |
electric_energy_mj = electric_energy_kwh * 3.6 # Convert kWh to MJ | |
fuel_equivalent_liters = electric_energy_mj / (self.equivalent_factor * self.fuel_efficiency * 3.6) # Convert MJ to fuel equivalent liters | |
return fuel_equivalent_liters + (distance_km / self.fuel_efficiency) # Total equivalent consumption in liters | |
def ecms_strategy(vehicle, route_distances_km, electric_powers_kw): | |
""" | |
route_distances_km: List of distances for each segment in km | |
electric_powers_kw: List of electric powers for each segment in kW | |
""" | |
total_equivalent_consumption = 0.0 | |
for distance_km, electric_power_kw in zip(route_distances_km, electric_powers_kw): | |
duration_hours = distance_km / (vehicle.fuel_efficiency * 10) # Assuming average speed of 10 km/L for fuel consumption calculation | |
electric_energy_kwh = electric_power_kw * duration_hours # Calculate energy consumption in kWh | |
vehicle.consume_electricity(electric_energy_kwh) | |
equivalent_consumption = vehicle.calculate_equivalent_consumption(electric_energy_kwh, distance_km) | |
total_equivalent_consumption += equivalent_consumption | |
# Optionally, you can add fuel consumption based on equivalent consumption | |
# vehicle.consume_fuel(equivalent_consumption - (distance_km / vehicle.fuel_efficiency)) | |
print(f"Distance: {distance_km} km, Electric Power: {electric_power_kw} kW, " | |
f"Electric Energy: {electric_energy_kwh} kWh, SOC: {vehicle.battery_soc:.2f}, " | |
f"Equivalent Consumption: {equivalent_consumption:.2f} L") | |
print(f"Total Equivalent Consumption: {total_equivalent_consumption:.2f} L") | |
return total_equivalent_consumption | |
# Example usage | |
vehicle = HybridVehicle(initial_battery_soc=1.0, battery_capacity=10.0, fuel_efficiency=10.0, equivalent_factor=2.0) | |
route_distances_km = [10, 20, 30] # Example route distances | |
electric_powers_kw = [10, 20, 15] # Example electric powers | |
ecms_strategy(vehicle, route_distances_km, electric_powers_kw) |
解释
- HybridVehicle 类：
__init__方法初始化车辆参数，包括初始电池电量（SOC）、电池容量、燃油效率和等效因子。consume_electricity方法用于消耗电池电量。consume_fuel方法（当前为空）用于消耗燃油。calculate_equivalent_consumption方法计算等效油耗，包括电耗的等效油耗和直接燃油消耗。
- ecms_strategy 函数：
- 输入为车辆对象、行驶距离列表和电动功率列表。
- 遍历每个行驶段，计算持续时间、电耗、等效油耗和总等效油耗。
- 打印每个段的详细信息。
- 示例使用：
- 创建一个车辆对象，并定义行驶距离和电动功率。
- 调用
ecms_strategy函数执行 ECMS 策略。
原文地址：https://blog.csdn.net/weixin_45570158/article/details/142714641
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